Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
51 | 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 |
51 | Filip Korc, Wolfgang Förstner |
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
DAGM-Symposium ![In: Pattern Recognition, 30th DAGM Symposium, Munich, Germany, June 10-13, 2008, Proceedings, pp. 11-20, 2008, Springer, 978-3-540-69320-8. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Approximate parameter learning, pseudo-likelihood, Markov Random Field, Conditional Random Field |
50 | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús, Denis H. P. Salvadeo |
Spatially non-homogeneous potts model parameter estimation on higher-order neighborhood systems by maximum pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SAC ![In: Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), Fortaleza, Ceara, Brazil, March 16-20, 2008, pp. 1733-1737, 2008, ACM, 978-1-59593-753-7. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
contextual classification, maximum pseudo-likelihood, spatially non-homogeneous potts model, Markov random fields |
47 | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús |
Improving Potts MRF Model Parameter Estimation in Image Analysis. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CSE ![In: Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE 2008, São Paulo, SP, Brazil, July 16-18, 2008, pp. 211-218, 2008, IEEE Computer Society, 978-0-7695-3193-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
Maximum Pseudo-Likelihood Estimation, Markov Random Fields, Image Analysis, Potts model |
40 | Shuyang Sun, Jianzhong Chen, Dayou Liu, Chengmin Sun |
A Posterior-Based Method for Markov Logic Networks Parameters Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE ICCI ![In: Proceedings of the Firth IEEE International Conference on Cognitive Informatics, ICCI 2006, July 17-19, Beijing, China, pp. 529-534, 2006, IEEE Computer Society, 1-4244-0475-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
36 | Antonino Freno, Edmondo Trentin, Marco Gori |
Scalable pseudo-likelihood estimation in hybrid random fields. ![Search on Bibsonomy](Pics/bibsonomy.png) |
KDD ![In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, pp. 319-328, 2009, ACM, 978-1-60558-495-9. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
hybrid random fields, scalability, bayesian networks, modularity, markov random fields |
36 | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús |
A novel pseudo-likelihood equation for Potts MRF model parameter estimation in image analysis. ![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. 1828-1831, 2008, IEEE, 978-1-4244-1765-0. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
33 | Matthew Richardson, Pedro M. Domingos |
Markov logic networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Mach. Learn. ![In: Mach. Learn. 62(1-2), pp. 107-136, 2006. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
Knowledge-based model construction, Pseudo-likelihood, Markov random fields, Satisfiability, First-order logic, Graphical models, Markov chain Monte Carlo, Inductive logic programming, Link prediction, Statistical relational learning, Markov networks, Log-linear models |
29 | Sunho Park, Seungjin Choi |
Gaussian processes for source separation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 1909-1912, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
27 | Cédric Herzet |
On the convergence of the iterative "pseudo likelihood" maximization algorithm. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA, pp. 3701-3704, 2008, IEEE, 1-4244-1484-9. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
25 | Jianwen Xu, Jiamao Zhang, Liya Fu |
Variable selection in generalized estimating equations via empirical likelihood and Gaussian pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 48(4), pp. 1239-1250, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
25 | Marijtje A. J. Van Duijn, Krista Gile, Mark S. Handcock |
A framework for the comparison of maximum pseudo-likelihood and maximum likelihood estimation of exponential family random graph models. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Soc. Networks ![In: Soc. Networks 31(1), pp. 52-62, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
25 | Erning Li, Daowen Zhang, Marie Davidian |
Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 51(12), pp. 5776-5790, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
|
18 | Marenglen Biba, Stefano Ferilli, Floriana Esposito |
Towards Multistrategic Statistical Relational Learning. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Advances in Machine Learning II ![In: Advances in Machine Learning II, Dedicated to the Memory of Professor Ryszard S. Michalski, pp. 121-142, 2010, Springer, 978-3-642-05178-4. The full citation details ...](Pics/full.jpeg) |
2010 |
DBLP DOI BibTeX RDF |
|
17 | Sacha Morin, Robin Legault, Zsuzsa Bakk, Charles-Édouard Giguère, Roxane de la Sablonnière, Éric Lacourse |
StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2304.03853, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters 0001 |
Pseudo-Likelihood Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/2311.16656, 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters |
Pseudo-Likelihood Inference. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NeurIPS ![In: Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023., 2023. The full citation details ...](Pics/full.jpeg) |
2023 |
DBLP BibTeX RDF |
|
17 | Kimmo Suotsalo, Yingying Xu, Jukka Corander, Johan Pensar |
High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 31(6), pp. 73, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Martin Slawski, Guoqing Diao, Emanuel Ben-David |
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Graph. Stat. ![In: J. Comput. Graph. Stat. 30(4), pp. 991-1003, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Jun Zhao 0018, Renzhou Gui, Xudong Dong 0001 |
PHD Filtering for Multi-Source DOA Tracking With Extended Co-Prime Array: An Improved MUSIC Pseudo-Likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Commun. Lett. ![In: IEEE Commun. Lett. 25(10), pp. 3267-3271, 2021. The full citation details ...](Pics/full.jpeg) |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Avni Rajpal, M. V. Achuth Rao, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh |
Pseudo Likelihood Correction Technique for Low Resource Accented ASR. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICASSP ![In: 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, pp. 7434-7438, 2020, IEEE, 978-1-5090-6631-5. The full citation details ...](Pics/full.jpeg) |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Amit More, Subhasis Chaudhuri |
A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ACM Trans. Multim. Comput. Commun. Appl. ![In: ACM Trans. Multim. Comput. Commun. Appl. 15(3), pp. 75:1-75:26, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Martin Slawski, Guoqing Diao, Emanuel Ben-David |
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1910.01623, 2019. The full citation details ...](Pics/full.jpeg) |
2019 |
DBLP BibTeX RDF |
|
17 | Chunpeng Fan |
A pseudo likelihood approach to analyze rate difference of binary response data in longitudinal factorial studies. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 47(7), pp. 2169-2183, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Jiafan Zhu, Luay Nakhleh |
Inference of species phylogenies from bi-allelic markers using pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Bioinform. ![In: Bioinform. 34(13), pp. i376-i385, 2018. The full citation details ...](Pics/full.jpeg) |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander |
Learning Gaussian graphical models with fractional marginal pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Int. J. Approx. Reason. ![In: Int. J. Approx. Reason. 83, pp. 21-42, 2017. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP DOI BibTeX RDF |
|
17 | Cinzia Daraio, Francesco Fabbri, Giulia Gavazzi, Maria Grazia Izzo, Luca Leuzzi, Giammarco Quaglia, Giancarlo Ruocco |
Assessing the Interdependencies between Scientific Disciplinary Profiles at the Country Level: a Pseudo-Likelihood Approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ISSI ![In: Proceedings of the 16th International Conference on Scientometrics and Informetrics, ISSI 2017, Wuhan, China, October 16-20, 2017., pp. 1448-1459, 2017, ISSI Society, 978-88-3381-118-5. The full citation details ...](Pics/full.jpeg) |
2017 |
DBLP BibTeX RDF |
|
17 | Liu-Cang Wu, Zhongzhan Zhang, Guo-Liang Tian, Dengke Xu |
A Robust Variable Selection to t-type Joint Generalized Linear Models via Penalized t-type Pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Commun. Stat. Simul. Comput. ![In: Commun. Stat. Simul. Comput. 45(7), pp. 2320-2337, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
17 | Hien Duy Nguyen, Ian A. Wood |
A Block Successive Lower-Bound Maximization Algorithm for the Maximum Pseudo-Likelihood Estimation of Fully Visible Boltzmann Machines. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Neural Comput. ![In: Neural Comput. 28(3), pp. 485-492, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
17 | Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander |
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1602.07863, 2016. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP BibTeX RDF |
|
17 | P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade |
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECML/PKDD (1) ![In: Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I, pp. 215-231, 2016, Springer, 978-3-319-46127-4. The full citation details ...](Pics/full.jpeg) |
2016 |
DBLP DOI BibTeX RDF |
|
17 | Wei Liu, Bo Zhang, Zhiwei Zhang, Baojiang Chen, Xiao-Hua Zhou |
A pseudo-likelihood approach for estimating diagnostic accuracy of multiple binary medical tests. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 84, pp. 85-98, 2015. The full citation details ...](Pics/full.jpeg) |
2015 |
DBLP DOI BibTeX RDF |
|
17 | Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam |
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1409.3768, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP BibTeX RDF |
|
17 | P. K. Srijith, Balamurugan P., Shirish K. Shevade |
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. ![Search on Bibsonomy](Pics/bibsonomy.png) |
CoRR ![In: CoRR abs/1412.7868, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP BibTeX RDF |
|
17 | Teemu Ruokolainen, Miikka Silfverberg, Mikko Kurimo, Krister Lindén |
Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EACL ![In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2014, April 26-30, 2014, Gothenburg, Sweden, pp. 74-78, 2014, The Association for Computer Linguistics, 978-1-937284-78-7. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP DOI BibTeX RDF |
|
17 | Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam |
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. ![Search on Bibsonomy](Pics/bibsonomy.png) |
NIPS ![In: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, pp. 667-675, 2014. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP BibTeX RDF |
|
17 | Praveen Babu Choppala, Paul D. Teal, Marcus R. Frean |
Adapting the multi-Bernoulli filter to phased array observations using MUSIC as pseudo-likelihood. ![Search on Bibsonomy](Pics/bibsonomy.png) |
FUSION ![In: 17th International Conference on Information Fusion, FUSION 2014, Salamanca, Spain, July 7-10, 2014, pp. 1-8, 2014, IEEE. The full citation details ...](Pics/full.jpeg) |
2014 |
DBLP BibTeX RDF |
|
17 | Antonino Freno |
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. ![Search on Bibsonomy](Pics/bibsonomy.png) |
AISTATS ![In: Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2012, La Palma, Canary Islands, Spain, April 21-23, 2012, pp. 391-399, 2012, JMLR.org. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP BibTeX RDF |
|
17 | Gaolei Fei, Guangmin Hu |
Temporal dependence network loss tomography using maximum pseudo likelihood method. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICOIN ![In: 2012 International Conference on Information Networking, ICOIN 2012, Bali, Indonesia, February 1-3, 2012, pp. 545-550, 2012, IEEE Computer Society, 978-1-4673-0251-7. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP DOI BibTeX RDF |
|
17 | Qiang Liu 0001, Alexander Ihler |
Distributed Parameter Estimation via Pseudo-likelihood . ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012, 2012, icml.cc / Omnipress. The full citation details ...](Pics/full.jpeg) |
2012 |
DBLP BibTeX RDF |
|
17 | Oliver Schulte |
A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
SDM ![In: Proceedings of the Eleventh SIAM International Conference on Data Mining, SDM 2011, April 28-30, 2011, Mesa, Arizona, USA, pp. 462-473, 2011, SIAM / Omnipress, 978-0-89871-992-5. The full citation details ...](Pics/full.jpeg) |
2011 |
DBLP DOI BibTeX RDF |
|
17 | Wenhui Wang, Juan Nunez-Iglesias, Yihui Luan, Fengzhu Sun |
Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach. ![Search on Bibsonomy](Pics/bibsonomy.png) |
BMC Bioinform. ![In: BMC Bioinform. 10, pp. 277, 2009. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
17 | Ana Luísa Dine Martins, Alexandre L. M. Levada, Murillo R. P. Homem, Nelson D. A. Mascarenhas |
Map-MRF Super-Resolution Image Reconstruction using Maximum Pseudo-Likelihood parameter estimation. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICIP ![In: Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt, pp. 1165-1168, 2009, IEEE, 978-1-4244-5654-3. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
17 | Ole F. Christensen, Asger Hobolth, Jens Ledet Jensen |
Pseudo-Likelihood Analysis of Codon Substitution Models with Neighbor-Dependent Rates. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Comput. Biol. ![In: J. Comput. Biol. 12(9), pp. 1166-1182, 2005. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
17 | Annibale Biggeri, Emanuela Dreassi, Corrado Lagazio, Dankmar Böhning |
A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Comput. Stat. Data Anal. ![In: Comput. Stat. Data Anal. 41(3-4), pp. 617-629, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
17 | Gang Liang, Bin Yu 0001 |
Maximum pseudo likelihood estimation in network tomography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Signal Process. ![In: IEEE Trans. Signal Process. 51(8), pp. 2043-2053, 2003. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
17 | Gang Liang, Bin Yu 0001 |
Pseudo Likelihood Estimation in Network Tomography. ![Search on Bibsonomy](Pics/bibsonomy.png) |
INFOCOM ![In: Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30 - April 3, 2003, pp. 2101-2111, 2003, IEEE Computer Society, 0-7803-7752-4. The full citation details ...](Pics/full.jpeg) |
2003 |
DBLP DOI BibTeX RDF |
|
17 | Jan-Olof Johansson |
Parameter-estimation in the auto-binomial model using the coding- and pseudo-likelihood method approached with simulated annealing and numerical optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Pattern Recognit. Lett. ![In: Pattern Recognit. Lett. 22(11), pp. 1233-1246, 2001. The full citation details ...](Pics/full.jpeg) |
2001 |
DBLP DOI BibTeX RDF |
|
17 | Peter S. Craig, Allan H. Seheult |
Pseudo-likelihood estimation for a class of spatial Markov chains. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Stat. Comput. ![In: Stat. Comput. 6(3), pp. 303-311, 1996. The full citation details ...](Pics/full.jpeg) |
1996 |
DBLP DOI BibTeX RDF |
|
14 | Francesco Lagona |
Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data. ![Search on Bibsonomy](Pics/bibsonomy.png) |
J. Geogr. Syst. ![In: J. Geogr. Syst. 4(1), pp. 53-68, 2002. The full citation details ...](Pics/full.jpeg) |
2002 |
DBLP DOI BibTeX RDF |
|
10 | Stanley Kok, Pedro M. Domingos |
Learning Markov logic network structure via hypergraph lifting. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Proceedings of the 26th Annual International Conference on Machine Learning, ICML 2009, Montreal, Quebec, Canada, June 14-18, 2009, pp. 505-512, 2009, ACM, 978-1-60558-516-1. The full citation details ...](Pics/full.jpeg) |
2009 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla |
Just Add Weights: Markov Logic for the Semantic Web. ![Search on Bibsonomy](Pics/bibsonomy.png) |
URSW (LNCS Vol.) ![In: Uncertainty Reasoning for the Semantic Web I, ISWC International Workshops, URSW 2005-2007, Revised Selected and Invited Papers, pp. 1-25, 2008, Springer, 978-3-540-89764-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
10 | Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús |
On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling. ![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 |
|
10 | Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla |
Markov Logic. ![Search on Bibsonomy](Pics/bibsonomy.png) |
Probabilistic Inductive Logic Programming ![In: Probabilistic Inductive Logic Programming - Theory and Applications, pp. 92-117, 2008, Springer, 978-3-540-78651-1. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
10 | Tijmen Tieleman |
Training restricted Boltzmann machines using approximations to the likelihood gradient. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Fifth International Conference (ICML 2008), Helsinki, Finland, June 5-9, 2008, pp. 1064-1071, 2008, ACM, 978-1-60558-205-4. The full citation details ...](Pics/full.jpeg) |
2008 |
DBLP DOI BibTeX RDF |
|
10 | François Destrempes, Max Mignotte, Jean-François Angers |
Localization of Shapes Using Statistical Models and Stochastic Optimization. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IEEE Trans. Pattern Anal. Mach. Intell. ![In: IEEE Trans. Pattern Anal. Mach. Intell. 29(9), pp. 1603-1615, 2007. The full citation details ...](Pics/full.jpeg) |
2007 |
DBLP DOI BibTeX RDF |
Shape localization, Exploration/Selection (E/S) algorithm, statistical model, stochastic optimization, Probabilistic Principal Component Analysis (PPCA) |
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. ![Search on Bibsonomy](Pics/bibsonomy.png) |
PRICAI ![In: PRICAI 2006: Trends in Artificial Intelligence, 9th Pacific Rim International Conference on Artificial Intelligence, Guilin, China, August 7-11, 2006, Proceedings, pp. 1, 2006, Springer, 3-540-36667-9. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. ![Search on Bibsonomy](Pics/bibsonomy.png) |
EKAW ![In: Managing Knowledge in a World of Networks, 15th International Conference, EKAW 2006, Podebrady, Czech Republic, October 2-6, 2006, Proceedings, pp. 2, 2006, Springer, 3-540-46363-1. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
10 | Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, Luca Bogoni |
A Learning Based Approach for 3D Segmentation and Colon Detagging. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (3) ![In: Computer Vision - ECCV 2006, 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part III, pp. 436-448, 2006, Springer, 3-540-33836-5. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. ![Search on Bibsonomy](Pics/bibsonomy.png) |
IBERAMIA-SBIA ![In: Advances in Artificial Intelligence - IBERAMIA-SBIA 2006, 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Ribeirão Preto, Brazil, October 23-27, 2006, Proceedings, pp. 3, 2006, Springer, 3-540-45462-4. The full citation details ...](Pics/full.jpeg) |
2006 |
DBLP DOI BibTeX RDF |
|
10 | M. Sabry Hassouna, Aly A. Farag |
Stochastic segmentation of blood vessels from time-of-flight. ![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. 29-32, 2005, IEEE, 0-7803-9134-9. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
10 | Stanley Kok, Pedro M. Domingos |
Learning the structure of Markov logic networks. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICML ![In: Machine Learning, Proceedings of the Twenty-Second International Conference (ICML 2005), Bonn, Germany, August 7-11, 2005, pp. 441-448, 2005, ACM, 1-59593-180-5. The full citation details ...](Pics/full.jpeg) |
2005 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ALT ![In: Algorithmic Learning Theory, 15th International Conference, ALT 2004, Padova, Italy, October 2-5, 2004, Proceedings, pp. 53, 2004, Springer, 978-3-540-23356-5. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ILP ![In: Inductive Logic Programming, 14th International Conference, ILP 2004, Porto, Portugal, September 6-8, 2004, Proceedings, pp. 359, 2004, Springer, 3-540-22941-8. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Peter Carbonetto, Nando de Freitas, Kobus Barnard |
A Statistical Model for General Contextual Object Recognition. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ECCV (1) ![In: Computer Vision - ECCV 2004, 8th European Conference on Computer Vision, Prague, Czech Republic, May 11-14, 2004. Proceedings, Part I, pp. 350-362, 2004, Springer, 3-540-21984-6. The full citation details ...](Pics/full.jpeg) |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Michal Haindl |
Recursive Square-Root Filters. ![Search on Bibsonomy](Pics/bibsonomy.png) |
ICPR ![In: 15th International Conference on Pattern Recognition, ICPR'00, Barcelona, Spain, September 3-8, 2000., pp. 6014-6017, 2000, IEEE Computer Society, 0-7695-0750-6. The full citation details ...](Pics/full.jpeg) |
2000 |
DBLP DOI BibTeX RDF |
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