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Venues (Conferences, Journals, ...)
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GrowBag graphs for keyword ? (Num. hits/coverage)
Group by:
The graphs summarize 377 occurrences of 211 keywords
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Results
Found 1281 publication records. Showing 1281 according to the selection in the facets
Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
89 | Wonsik Kim, Joonyoung Park, Kyoung Mu Lee |
Stereo Matching Using Population-Based MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 83(2), pp. 195-209, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Population-based MCMC, Stereo, Energy minimization |
89 | Christophe Andrieu, Yves F. Atchadé |
On the efficiency of adaptive MCMC algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
VALUETOOLS ![In: Proceedings of the 1st International Conference on Performance Evaluation Methodolgies and Tools, VALUETOOLS 2006, Pisa, Italy, October 11-13, 2006, pp. 43, 2006, ACM, 1-59593-504-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
adaptive Markov chains, coupling, Markov chain Monte Carlo, stochastic approximation, MCMC, rate of convergence, metropolis algorithm |
85 | Christophe Andrieu, Johannes Thoms |
A tutorial on adaptive MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 343-373, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Adaptive MCMC, Controlled Markov chain, Stochastic approximation, MCMC |
67 | Marco Grzegorczyk, Dirk Husmeier |
Improving the structure MCMC sampler for Bayesian networks by introducing a new edge reversal move. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 71(2-3), pp. 265-305, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
MCMC sampling, Bayesian networks, Structure learning |
59 | Joonyoung Park, Wonsik Kim, Kyoung Mu Lee |
Stereo Matching Using Population-Based MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACCV (2) ![In: Computer Vision - ACCV 2007, 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part II, pp. 560-569, 2007, Springer, 978-3-540-76389-5. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
59 | István Miklós, Timothy Brooks Paige, Péter Ligeti |
Efficient Sampling of Transpositions and Inverted Transpositions for Bayesian MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WABI ![In: Algorithms in Bioinformatics, 6th International Workshop, WABI 2006, Zurich, Switzerland, September 11-13, 2006, Proceedings, pp. 174-185, 2006, Springer, 3-540-39583-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
59 | Carsten Riggelsen |
MCMC Learning of Bayesian Network Models by Markov Blanket Decomposition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2005, 16th European Conference on Machine Learning, Porto, Portugal, October 3-7, 2005, Proceedings, pp. 329-340, 2005, Springer, 3-540-29243-8. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
56 | Xin He, Brian S. Caffo, Eric C. Frey |
Toward Realistic and Practical Ideal Observer (IO) Estimation for the Optimization of Medical Imaging Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Medical Imaging ![In: IEEE Trans. Medical Imaging 27(10), pp. 1535-1543, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
56 | Cajo J. F. ter Braak |
A Markov Chain Monte Carlo version of the genetic algorithm Differential Evolution: easy Bayesian computing for real parameter spaces. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(3), pp. 239-249, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Block updating, Evolutionary Monte Carlo, Population Markov Chain Monte Carlo, Simulated Tempering, Theophylline Kinetics, Simulated Annealing, Metropolis algorithm |
56 | Madalina M. Drugan, Dirk Thierens |
Evolutionary Markov Chain Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Artificial Evolution ![In: Artificial Evolution, 6th International Conference, Evolution Artificielle, EA 2003, Marseilles, France, October 27-30, 2003, pp. 63-76, 2003, Springer, 3-540-21523-9. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
55 | Ramesh Ram, Madhu Chetty |
MCMC Based Bayesian Inference for Modeling Gene Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRIB ![In: Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings, pp. 293-306, 2009, Springer, 978-3-642-04030-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Bayesian network, parameter estimation, gene expression, MCMC |
55 | José G. Dias, Michel Wedel |
An empirical comparison of EM, SEM and MCMC performance for problematic Gaussian mixture likelihoods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 14(4), pp. 323-332, 2004. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
SEM algorithm, hierarchical prior, EM algorithm, Gaussian mixture models, MCMC, loss functions, label switching, conjugate prior |
52 | Sang Min Oh, James M. Rehg, Tucker R. Balch, Frank Dellaert |
Learning and Inferring Motion Patterns using Parametric Segmental Switching Linear Dynamic Systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 77(1-3), pp. 103-124, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Trajectory analysis, Time-series, MCMC, Probabilistic graphical models, Biology, Behavior recognition |
48 | Paul Fearnhead |
Computational methods for complex stochastic systems: a review of some alternatives to MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(2), pp. 151-171, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Particle filter, Diffusions, Importance sampling, Missing data, Forward-backward algorithm, Population genetics |
48 | Iker Zuriarrain, Frédéric Lerasle, Nestor Arana-Arejolaleiba, Michel Devy |
An MCMC-based particle filter for multiple person tracking. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 19th International Conference on Pattern Recognition (ICPR 2008), December 8-11, 2008, Tampa, Florida, USA, pp. 1-4, 2008, IEEE Computer Society, 978-1-4244-2175-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Jonathan M. R. Byrd, Stephen A. Jarvis, Abhir H. Bhalerao |
Reducing the run-time of MCMC programs by multithreading on SMP architectures. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IPDPS ![In: 22nd IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2008, Miami, Florida USA, April 14-18, 2008, pp. 1-8, 2008, IEEE. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
48 | Katrin Sommer, Claus Weihs |
Using MCMC as a Stochastic Optimization Procedure for Monophonic and Polyphonic Sound. ![Search on Bibsonomy](Pics/bibsonomy.png) |
GfKl ![In: Advances in Data Analysis, Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006, pp. 645-652, 2006, Springer, 978-3-540-70980-0. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
48 | Zia Khan, Tucker R. Balch, Frank Dellaert |
MCMC-Based Particle Filtering for Tracking a Variable Number of Interacting Targets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 27(11), pp. 1805-1918, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
Markov random fields, Particle filters, Markov chain Monte Carlo, multitarget tracking |
48 | Jing Tian 0002, Kai-Kuang Ma |
A MCMC approach for Bayesian super-resolution image reconstruction. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (1) ![In: Proceedings of the 2005 International Conference on Image Processing, ICIP 2005, Genoa, Italy, September 11-14, 2005, pp. 45-48, 2005, IEEE, 0-7803-9134-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
45 | Jing Tian 0002, Kai-Kuang Ma |
Super-resolution Imaging Using Grid Computing. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CCGRID ![In: Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil, pp. 293-300, 2007, IEEE Computer Society, 0-7695-2833-3. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
45 | Yongtao Guan, Roland Fleißner, Paul Joyce, Stephen M. Krone |
Markov Chain Monte Carlo in small worlds. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(2), pp. 193-202, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Proposal distributions, Markov Chain Monte Carlo, Importance sampling, Small-world networks, Metropolis-Hastings algorithm |
45 | Behrouz Farhang-Boroujeny, Haidong Zhu, Zhenning Shi |
Markov chain Monte Carlo algorithms for CDMA and MIMO communication systems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 54(5), pp. 1896-1909, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
45 | Stefanos G. Giakoumatos, Petros Dellaportas, Dimitris Nicolas Politis |
Bayesian analysis of the unobserved ARCH model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(2), pp. 103-111, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
ARCH components, Markov chain Monte Carlo, GARCH, auxiliary variables |
45 | Lars Arvestad, Ann-Charlotte Berglund, Jens Lagergren, Bengt Sennblad |
Gene tree reconstruction and orthology analysis based on an integrated model for duplications and sequence evolution. ![Search on Bibsonomy](Pics/bibsonomy.png) |
RECOMB ![In: Proceedings of the Eighth Annual International Conference on Computational Molecular Biology, 2004, San Diego, California, USA, March 27-31, 2004, pp. 326-335, 2004, ACM, 1-58113-755-9. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
gene tree, orthology, algorithms, bayesian analysis, reconciliation |
44 | Yanan Fan, Gareth W. Peters, Scott A. Sisson |
Automating and evaluating reversible jump MCMC proposal distributions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(4), pp. 409-421, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Between-model mappings, Path sampling, Transdimensional MCMC, Markov chain Monte Carlo, Density estimation, Reversible jump |
44 | Huaizhong Zhang, E. Patricia Rodriguez, Philip J. Morrow, Sally I. McClean, Kurt Saetzler |
MCMC-Based Algorithm to Adjust Scale Bias in Large Series of Electron Microscopical Ultrathin Sections. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAIP ![In: Computer Analysis of Images and Patterns, 13th International Conference, CAIP 2009, Münster, Germany, September 2-4, 2009. Proceedings, pp. 557-564, 2009, Springer, 978-3-642-03766-5. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
scale bias, image registration, hierarchical model, stochastic simulation, MCMC |
41 | Tao Pei, Ajay Jasra, David J. Hand, A-Xing Zhu, Chenghu Zhou |
DECODE: a new method for discovering clusters of different densities in spatial data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 18(3), pp. 337-369, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Data mining, Nearest neighbor, MCMC, Point process, Earthquake, Reversible jump |
41 | Yuan Ren 0002, Yu Ding 0002, Faming Liang |
Adaptive evolutionary Monte Carlo algorithm for optimization with applications to sensor placement problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 375-390, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Adaptive MCMC, Evolutionary Monte Carlo, Data mining, Global optimization |
41 | Kuo-ching Liang, Xiaodong Wang 0001, Dimitris Anastassiou |
Bayesian Basecalling for DNA Sequence Analysis Using Hidden Markov Models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ACM Trans. Comput. Biol. Bioinform. ![In: IEEE ACM Trans. Comput. Biol. Bioinform. 4(3), pp. 430-440, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo (MCMC), electropherogram, basecalling, hidden Markov model (HMM), DNA sequencing |
41 | David J. Allcroft, Chris A. Glasbey |
A Spectral Estimator of Arma Parameters from Thresholded Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(4), pp. 369-376, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
ARMA process, censoring, cow feeding data, spectral likelihood, tetrachoric correlation, simulation, MCMC |
41 | Heikki Mannila, Marko Salmenkivi |
Finding simple intensity descriptions from event sequence data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA, August 26-29, 2001, pp. 341-346, 2001, ACM, 1-58113-391-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
intensity modeling, MCMC, event sequence |
37 | Ryo Kurazume, Hiroyuki Yamada, Kouji Murakami, Yumi Iwashita, Tsutomu Hasegawa |
Target tracking using SIR and MCMC particle filters by multiple cameras and laser range finders. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IROS ![In: 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, September 22-26, 2008, Acropolis Convention Center, Nice, France, pp. 3838-3844, 2008, IEEE, 978-1-4244-2057-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
37 | Kenichi Kurihara, Tsuyoshi Murata, Taisuke Sato |
Identification of MCMC Samples for Clustering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
LKR ![In: Large-Scale Knowledge Resources. Construction and Application, Third International Conference on Large-Scale Knowledge Resources, LKR 2008, Tokyo, Japan, March 3-5, 2008, Proceedings, pp. 27-37, 2008, Springer, 978-3-540-78158-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
37 | Mark Fleischer |
Transformations for accelerating MCMC simulations with broken ergodicity. ![Search on Bibsonomy](Pics/bibsonomy.png) |
WSC ![In: Proceedings of the Winter Simulation Conference, WSC 2007, Washington, DC, USA, December 9-12, 2007, pp. 658-666, 2007, WSC, 1-4244-1306-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
37 | Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen |
Fingerprint Image Segmentation Method Based on MCMC&GA. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIAP ![In: Image Analysis and Processing - ICIAP 2005, 13th International Conference, Cagliari, Italy, September 6-8, 2005, Proceedings, pp. 391-398, 2005, Springer, 3-540-28869-4. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
37 | Timo Kostiainen, Jouko Lampinen |
Efficient proposal distributions for MCMC image segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the 2004 International Conference on Image Processing, ICIP 2004, Singapore, October 24-27, 2004, pp. 933-936, 2004, IEEE, 0-7803-8554-3. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Mun Wai Lee, Isaac Cohen |
Proposal Maps Driven MCMC for Estimating Human Body Pose in Static Images. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CVPR (2) ![In: 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2004), with CD-ROM, 27 June - 2 July 2004, Washington, DC, USA, pp. 334-341, 2004, IEEE Computer Society, 0-7695-2158-4. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Harvey D. Thornburg, Randal J. Leistikow |
A New Probabilistic Spectral Pitch Estimator: Exact and MCMC-approximate Strategies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CMMR ![In: Computer Music Modeling and Retrieval: Second International Symposium, CMMR 2004, Esbjerg, Denmark, May 26-29, 2004, Revised Papers, pp. 41-60, 2004, Springer, 3-540-24458-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Zia Khan, Tucker R. Balch, Frank Dellaert |
An MCMC-Based Particle Filter for Tracking Multiple Interacting Targets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (4) ![In: Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part IV, pp. 279-290, 2004, Springer, 3-540-21981-1. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Malcolm J. A. Strens |
Efficient hierarchical MCMC for policy search. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004, 2004, ACM. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
37 | Jarkko Venna, Samuel Kaski, Jaakko Peltonen |
Visualizations for Assessing Convergence and Mixing of MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML ![In: Machine Learning: ECML 2003, 14th European Conference on Machine Learning, Cavtat-Dubrovnik, Croatia, September 22-26, 2003, Proceedings, pp. 432-443, 2003, Springer, 3-540-20121-1. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
37 | Aki Vehtari, Simo Särkkä, Jouko Lampinen |
On MCMC Sampling in Bayesian MLP Neural Networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IJCNN (1) ![In: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Neural Computing: New Challenges and Perspectives for the New Millennium, Como, Italy, July 24-27, 2000, Volume 1, pp. 317-322, 2000, IEEE Computer Society, 0-7695-0619-4. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
|
34 | Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt |
Variational Bayes for estimating the parameters of a hidden Potts model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 19(3), pp. 329-340, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference |
34 | Nathan Kitchen, Andreas Kuehlmann |
A Markov Chain Monte Carlo Sampler for Mixed Boolean/Integer Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CAV ![In: Computer Aided Verification, 21st International Conference, CAV 2009, Grenoble, France, June 26 - July 2, 2009. Proceedings, pp. 446-461, 2009, Springer, 978-3-642-02657-7. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
34 | Tetsuya Takaishi |
An Adaptive Markov Chain Monte Carlo Method for GARCH Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Complex (2) ![In: Complex Sciences, First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 2, pp. 1424-1434, 2009, Springer, 978-3-642-02468-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
GARCH model, Bayesian inference, Markov Chain Monte Carlo, Metropolis-Hastings algorithm |
34 | Takumi Hirata, Hiroyuki Okamura, Tadashi Dohi |
A Bayesian Inference Tool for NHPP-Based Software Reliability Assessment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FGIT ![In: Future Generation Information Technology, First International Conference, FGIT 2009, Jeju Island, Korea, December 10-12, 2009. Proceedings, pp. 225-236, 2009, Springer, 978-3-642-10508-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
34 | Jonathan M. Keith, Dirk P. Kroese, George Y. Sofronov |
Adaptive independence samplers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(4), pp. 409-420, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Generalized Markov sampler, Markov chain Monte Carlo, Comparative genomics, Cross-entropy, Adaptive methods |
34 | Vitaly Schetinin, Wojtek J. Krzanowski, Carsten Maple |
The Bayesian Decision Tree Technique Using an Adaptive Sampling Scheme. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CBMS ![In: 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 20-22 June 2007, Maribor, Slovenia, pp. 121-126, 2007, IEEE Computer Society, 0-7695-2905-4. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
34 | Robert G. Aykroyd, Brian A. Cattle |
A flexible statistical and efficient computational approach to object location applied to electrical tomography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(4), pp. 363-375, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Electrical tomography, Markov chain Monte Carlo, Inverse problems, Boundary element methods, Bayesian statistics |
34 | Madalina M. Drugan, Dirk Thierens |
Recombinative EMCMC algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Congress on Evolutionary Computation ![In: Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2005, 2-4 September 2005, Edinburgh, UK, pp. 2024-2031, 2005, IEEE, 0-7803-9363-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
34 | Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen |
A Method Based on the Markov Chain Monte Carlo for Fingerprint Image Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FSKD (2) ![In: Fuzzy Systems and Knowledge Discovery, Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II, pp. 240-248, 2005, Springer, 3-540-28331-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
34 | David M. Blei, Michael I. Jordan |
Variational methods for the Dirichlet process. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-first International Conference (ICML 2004), Banff, Alberta, Canada, July 4-8, 2004, 2004, ACM. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
34 | Philip H. S. Torr, Colin Davidson |
IMPSAC: Synthesis of Importance Sampling and Random Sample Consensus. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 25(3), pp. 354-364, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
structure from motion, importance sampling, Bayesian methods, stereoscopic vision |
34 | Xiaodong Wang, Rong Chen, Jun S. Liu |
Monte Carlo Bayesian Signal Processing for Wireless Communications. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. VLSI Signal Process. ![In: J. VLSI Signal Process. 30(1-3), pp. 89-105, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
33 | Jukka Corander, Magnus Ekdahl, Timo Koski |
Parallell interacting MCMC for learning of topologies of graphical models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Min. Knowl. Discov. ![In: Data Min. Knowl. Discov. 17(3), pp. 431-456, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Equivalence search, Learning graphical models, MCMC |
30 | Nikolaj Tatti |
Probably the best itemsets. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 293-302, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
bayesian model selection, decomposable models, exponential models, MCMC, junction tree, itemset mining |
30 | Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka |
Mixture models for learning low-dimensional roles in high-dimensional data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, pp. 909-918, 2010, ACM, 978-1-4503-0055-1. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
mixture models, mcmc, high-dimensional data |
30 | John Thomas, Naren Ramakrishnan, Chris Bailey-Kellogg |
Protein Design by Sampling an Undirected Graphical Model of Residue Constraints. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ACM Trans. Comput. Biol. Bioinform. ![In: IEEE ACM Trans. Comput. Biol. Bioinform. 6(3), pp. 506-516, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
residue coupling, Markov chain Monte Carlo (MCMC), graphical models, Protein design |
30 | Benjamin Perret, Vincent Mazet, Christophe Collet 0001, Éric Slezak |
Galaxy Decomposition in Multispectral Images Using Markov Chain Monte Carlo Algorithms. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SCIA ![In: Image Analysis, 16th Scandinavian Conference, SCIA 2009, Oslo, Norway, June 15-18, 2009. Proceedings, pp. 209-218, 2009, Springer, 978-3-642-02229-6. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
multispectral image processing, galaxy classification, Bayesian inference, MCMC |
30 | Richard J. Boys, Darren J. Wilkinson, Thomas B. L. Kirkwood |
Bayesian inference for a discretely observed stochastic kinetic model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 18(2), pp. 125-135, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Biochemical networks, Block updating, Lotka-Volterra model, Markov jump process, MCMC methods, Parameter estimation, Systems biology, Reversible jump |
30 | Loukia Meligkotsidou |
Bayesian multivariate Poisson mixtures with an unknown number of components. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(2), pp. 93-107, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Disease mapping, Multivariate Poisson distribution, Mixture models, Bayesian inference, Reversible jump MCMC |
30 | Zhiguang Shi, Jianxiong Zhou, HongZhong Zhao, Qiang Fu |
Study on joint Bayesian model selection and parameter estimation method of GTD model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Sci. China Ser. F Inf. Sci. ![In: Sci. China Ser. F Inf. Sci. 50(2), pp. 261-272, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
RJ-MCMC, GTD model, scattering centers, model order selection, CRB, parameter estimation, ESPRIT |
30 | Mathias Ortner, Xavier Descombes, Josiane Zerubia |
Building Outline Extraction from Digital Elevation Models Using Marked Point Processes. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Comput. Vis. ![In: Int. J. Comput. Vis. 72(2), pp. 107-132, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
inhomogeneous Poisson point process, dense urban area, laser data, land register, RJMCMC, image processing, simulated annealing, MCMC, stochastic geometry, digital elevation models, building detection |
30 | Andrew Golightly, Darren J. Wilkinson |
Bayesian sequential inference for nonlinear multivariate diffusions. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(4), pp. 323-338, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Nonlinear stochastic differential equation, Particle filter, Bayesian inference, MCMC |
30 | Paul Fearnhead |
Exact and efficient Bayesian inference for multiple changepoint problems. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 16(2), pp. 203-213, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Model choice, Well-log data, Perfect simulation, Forward-backward algorithm, Bayes factor, Reversible jump MCMC |
30 | Craig C. Douglas, Yalchin Efendiev, Richard E. Ewing, Victor Ginting, Raytcho D. Lazarov |
Dynamic Data Driven Simulations in Stochastic Environments. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Computing ![In: Computing 77(4), pp. 321-333, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
porous media flow, DDDAS, uncertainty, MCMC, permeability |
30 | Kevin Smith 0001, Sileye O. Ba, Daniel Gatica-Perez, Jean-Marc Odobez |
Tracking the multi person wandering visual focus of attention. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMI ![In: Proceedings of the 8th International Conference on Multimodal Interfaces, ICMI 2006, Banff, Alberta, Canada, November 2-4, 2006, pp. 265-272, 2006, ACM, 1-59593-541-X. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
head pose tracking, multi-person tracking, MCMC |
30 | Peter Neal, Gareth Roberts |
A case study in non-centering for data augmentation: Stochastic epidemics. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 15(4), pp. 315-327, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
stochastic epidemic models, bernoulli random graphs, non-centered and partially non-centered MCMC algorithms, data augmentation |
30 | Daniel Gatica-Perez, Guillaume Lathoud, Jean-Marc Odobez, Iain McCowan |
Multimodal multispeaker probabilistic tracking in meetings. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICMI ![In: Proceedings of the 7th International Conference on Multimodal Interfaces, ICMI 2005, Trento, Italy, October 4-6, 2005, pp. 183-190, 2005, ACM, 1-59593-028-0. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
audio-visual speaker tracking, particle filters, MCMC |
29 | Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu |
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICLR ![In: The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022, OpenReview.net. The full citation details ...](Pics/full.jpeg) |
2022 |
DBLP BibTeX RDF |
|
29 | Masayoshi Takahashi |
Statistical Inference in Missing Data by MCMC and Non-MCMC Multiple Imputation Algorithms: Assessing the Effects of Between-Imputation Iterations. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Data Sci. J. ![In: Data Sci. J. 16, pp. 37, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
29 | Tianfan Fu, Zhihua Zhang |
CPSG-MCMC: Clustering-Based Preprocessing method for Stochastic Gradient MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, AISTATS 2017, 20-22 April 2017, Fort Lauderdale, FL, USA, pp. 841-850, 2017, PMLR. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
29 | Florian Stimberg |
Flexible birth-death MCMC sampler for changepoint models (Flexibler Birth-Death MCMC Sampler für Changepoint-Modelle) ![Search on Bibsonomy](Pics/bibsonomy.png) |
|
2016 |
RDF |
|
26 | Qingping Tao, Stephen D. Scott 0001 |
Improved MCMC sampling methods for estimating weighted sums in Winnow with application to DNF learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 73(2), pp. 107-132, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Markov chain Monte Carlo, DNF, Winnow |
26 | Tom E. Bishop, Rafael Molina 0001, James R. Hopgood |
Blind restoration of blurred photographs via AR modelling and MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA, pp. 669-672, 2008, IEEE, 978-1-4244-1765-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
26 | Jun Yan 0002, Mary Kathryn Cowles, Shaowen Wang, Marc P. Armstrong |
Parallelizing MCMC for Bayesian spatiotemporal geostatistical models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(4), pp. 323-335, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Parallel computing, Bayesian inference, Markov chain Monte Carlo, Spatial modeling |
26 | Olivier Rabaste, Thierry Chonavel |
Estimation of Multipath Channels With Long Impulse Response at Low SNR via an MCMC Method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 55(4), pp. 1312-1325, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Adam Bowen, Andrew Mullins, Roland Wilson, Nasir M. Rajpoot |
Surface Estimation and Tracking using Sequential MCMC Methods for Video Based Rendering. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP (2) ![In: Proceedings of the International Conference on Image Processing, ICIP 2007, September 16-19, 2007, San Antonio, Texas, USA, pp. 561-564, 2007, IEEE, 978-1-4244-1436-9. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Tatsuya Osawa, Xiaojun Wu, Kyoko Sudo, Kaoru Wakabayashi, Hiroyuki Arai, Takayuki Yasuno |
MCMC based multi-body tracking using full 3D model of both target and environment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AVSS ![In: Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2007, 5-7 September, 2007, Queen Mary, University of London, London, United Kingdom, pp. 224-229, 2007, IEEE Computer Society, 978-1-4244-1695-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Ayres C. Fan, John W. Fisher III, William M. Wells III, James J. Levitt, Alan S. Willsky |
MCMC Curve Sampling for Image Segmentation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
MICCAI (2) ![In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part II, pp. 477-485, 2007, Springer, 978-3-540-75758-0. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
26 | Zia Khan, Tucker R. Balch, Frank Dellaert |
MCMC Data Association and Sparse Factorization Updating for Real Time Multitarget Tracking with Merged and Multiple Measurements. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 28(12), pp. 1960-1972, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
downdating, merged measurements, particle filter, updating, Markov chain Monte Carlo, QR factorization, multitarget tracking, Rao-Blackwellized, linear least squares, laser range scanner |
26 | Despina Kontos, Vasileios Megalooikonomou, Marc J. Sobel, Qiang Wang 0010 |
An MCMC Feature Selection Technique for Characterizing and Classifying Spatial Region Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SSPR/SPR ![In: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshops, SSPR 2004 and SPR 2004, Lisbon, Portugal, August 18-20, 2004 Proceedings, pp. 379-387, 2004, Springer, 3-540-22570-6. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
26 | Mitsuru Kondo, Daigo Muramatsu, Masahiro Sasaki, Takashi Matsumoto 0001 |
A Bayesian MCMC On-line Signature Verification. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AVBPA ![In: Audio-and Video-Based Biometrie Person Authentication, 4th International Conference, AVBPA 2003, Guildford, UK, June 9-11, 2003 Proceedings, pp. 540-548, 2003, Springer, 3-540-40302-7. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
26 | Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras |
On Bayesian model and variable selection using MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(1), pp. 27-36, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
independence sampler, Gibbs sampler, reversible jump, Metropolis-Hastings |
26 | Mary Kathryn Cowles |
MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(4), pp. 377-389, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
agricultural field trials, total variation distance, Bayesian models, Gibbs sampler |
26 | Darren J. Wilkinson, Stephen K. H. Yeung |
Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 12(3), pp. 287-300, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
block sampling, linear Bayes models, nested hierarchical random effects, DAG propagation, local computation |
26 | Anthony R. Dick, Philip H. S. Torr, Roberto Cipolla |
A Bayesian Estimation of Building Shape Using MCMC. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (2) ![In: Computer Vision - ECCV 2002, 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002, Proceedings, Part II, pp. 852-866, 2002, Springer, 3-540-43744-4. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
26 | Nicos Angelopoulos, James Cussens |
Prolog Issues and Experimental Results of an MCMC Algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INAP (LNCS Volume) ![In: Web Knowledge Management and Decision Support, 14th International Conference on Applications of Prolog, INAP 2001, Tokyo, Japan, October 20-22, 2001, Revised Papers, pp. 186-196, 2001, Springer, 3-540-00680-X. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
26 | Paolo Magni, Riccardo Bellazzi, Giuseppe De Nicolao |
Bayesian Function Learning Using MCMC Methods. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 20(12), pp. 1319-1331, 1998. The full citation details ...](Pics/full.jpeg) |
1998 |
DBLP DOI BibTeX RDF |
dynamic systems, smoothing, inverse problems, system identification, Bayesian estimation, Markov chain Monte Carlo methods |
23 | Michael A. Chappell, Adrian R. Groves, Brandon J. Whitcher, Mark William Woolrich |
Variational Bayesian Inference for a Nonlinear Forward Model. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 57(1), pp. 223-236, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
23 | Shuji Kijima, Tomomi Matsui |
Randomized approximation scheme and perfect sampler for closed Jackson networks with multiple servers. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Oper. Res. ![In: Ann. Oper. Res. 162(1), pp. 35-55, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Fully polynomial-time randomized approximation scheme, Queueing network, Markov chain Monte Carlo, Perfect simulation, Product form solution |
23 | Nicos Angelopoulos, James Cussens |
Bayesian learning of Bayesian networks with informative priors. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Ann. Math. Artif. Intell. ![In: Ann. Math. Artif. Intell. 54(1-3), pp. 53-98, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Mathematics Subject Classifications (2000) 68T05, 68T27 |
23 | Kenji Nagata, Sumio Watanabe |
Exchange Monte Carlo Sampling From Bayesian Posterior for Singular Learning Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Neural Networks ![In: IEEE Trans. Neural Networks 19(7), pp. 1253-1266, 2008. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Sebastian Höhna, Michael Defoin-Platel, Alexei J. Drummond |
Clock-constrained tree proposal operators in Bayesian phylogenetic inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BIBE ![In: Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2008, October 8-10, 2008, Athens, Greece, pp. 1-7, 2008, IEEE, 978-1-4244-2845-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Yu-Chi Lai, Feng Liu 0015, Li Zhang, Charles R. Dyer |
Efficient Schemes for Monte Carlo Markov Chain Algorithms in Global Illumination. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISVC (1) ![In: Advances in Visual Computing, 4th International Symposium, ISVC 2008, Las Vegas, NV, USA, December 1-3, 2008. Proceedings, Part I, pp. 614-623, 2008, Springer, 978-3-540-89638-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Thomas Peyret, Kannan Krishnan |
Markov chain Monte Carlo simulation of biomonitoring in humans: application to biomarkers of chronic exposure to alkyl benzenes in the environment. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SpringSim ![In: Proceedings of the 2008 Spring Simulation Multiconference, SpringSim 2008, Ottawa, Canada, April 14-17, 2008, pp. 589-596, 2008, SCS/ACM, 1-56555-319-5. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
PBPK modeling, alkyl benzenes, steady-state pharmacokinetics, Markov chain Monte Carlo, Bayesian analysis |
23 | Peter C. Richter |
The Quantum Complexity of Markov Chain Monte Carlo. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CiE ![In: Logic and Theory of Algorithms, 4th Conference on Computability in Europe, CiE 2008, Athens, Greece, June 15-20, 2008, Proceedings, pp. 511-522, 2008, Springer, 978-3-540-69405-2. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
23 | Craig K. Abbey, John M. Boone |
An Ideal Observer for a Model of X-Ray Imaging in Breast Parenchymal Tissue. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Digital Mammography / IWDM ![In: Digital Mammography, 9th International Workshop, IWDM 2008, Tucson, AZ, USA, July 20-23, 2008, Proceedings, pp. 393-400, 2008, Springer, 978-3-540-70537-6. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Ideal observer, binary texture, breast CT, screening mammography |
23 | Trevor C. Bailey, Richard M. Everson, Jonathan E. Fieldsend, Wojtek J. Krzanowski, Derek Partridge, Vitaly Schetinin |
Representing classifier confidence in the safety critical domain: an illustration from mortality prediction in trauma cases. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. Appl. ![In: Neural Comput. Appl. 16(1), pp. 1-10, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
23 | Øivind Skare, Jesper Møller, Eva Bjørn Vedel Jensen |
Bayesian analysis of spatial point processes in the neighbourhood of Voronoi networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 17(4), pp. 369-379, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Delaunay tessellation, Inhomogeneous point processes, Bayesian inference, Markov chain Monte Carlo, Voronoi tessellation, Poisson process |
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