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Searching for phrase Pseudo-likelihood (changed automatically) with no syntactic query expansion in all metadata.

Publication years (Num. hits)
1996-2006 (19) 2007-2009 (18) 2010-2016 (15) 2017-2023 (14)
Publication types (Num. hits)
article(29) incollection(2) inproceedings(35)
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Found 66 publication records. Showing 66 according to the selection in the facets
Hits ? Authors Title Venue Year Link Author keywords
51Clare A. McGrory, D. M. Titterington, R. Reeves, Anthony N. Pettitt Variational Bayes for estimating the parameters of a hidden Potts model. Search on Bibsonomy Stat. Comput. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF Potts/Ising model, Hidden Markov random field, Variational approximation, Pseudo-likelihood, Reduced dependence approximation, Bayesian inference
51Filip Korc, Wolfgang Förstner Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation. Search on Bibsonomy DAGM-Symposium The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Approximate parameter learning, pseudo-likelihood, Markov Random Field, Conditional Random Field
50Alexandre 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 SAC The full citation details ... 2008 DBLP  DOI  BibTeX  RDF contextual classification, maximum pseudo-likelihood, spatially non-homogeneous potts model, Markov random fields
47Alexandre L. M. Levada, Nelson D. A. Mascarenhas, Alberto Tannús Improving Potts MRF Model Parameter Estimation in Image Analysis. Search on Bibsonomy CSE The full citation details ... 2008 DBLP  DOI  BibTeX  RDF Maximum Pseudo-Likelihood Estimation, Markov Random Fields, Image Analysis, Potts model
40Shuyang Sun, Jianzhong Chen, Dayou Liu, Chengmin Sun A Posterior-Based Method for Markov Logic Networks Parameters Learning. Search on Bibsonomy IEEE ICCI The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
36Antonino Freno, Edmondo Trentin, Marco Gori Scalable pseudo-likelihood estimation in hybrid random fields. Search on Bibsonomy KDD The full citation details ... 2009 DBLP  DOI  BibTeX  RDF hybrid random fields, scalability, bayesian networks, modularity, markov random fields
36Alexandre 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 ICIP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
33Matthew Richardson, Pedro M. Domingos Markov logic networks. Search on Bibsonomy Mach. Learn. The full citation details ... 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
29Sunho Park, Seungjin Choi Gaussian processes for source separation. Search on Bibsonomy ICASSP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
27Cédric Herzet On the convergence of the iterative "pseudo likelihood" maximization algorithm. Search on Bibsonomy ICASSP The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
25Jianwen Xu, Jiamao Zhang, Liya Fu Variable selection in generalized estimating equations via empirical likelihood and Gaussian pseudo-likelihood. Search on Bibsonomy Commun. Stat. Simul. Comput. The full citation details ... 2019 DBLP  DOI  BibTeX  RDF
25Marijtje 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 Soc. Networks The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
25Erning Li, Daowen Zhang, Marie Davidian Likelihood and pseudo-likelihood methods for semiparametric joint models for a primary endpoint and longitudinal data. Search on Bibsonomy Comput. Stat. Data Anal. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF
18Marenglen Biba, Stefano Ferilli, Floriana Esposito Towards Multistrategic Statistical Relational Learning. Search on Bibsonomy Advances in Machine Learning II The full citation details ... 2010 DBLP  DOI  BibTeX  RDF
17Sacha 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 CoRR The full citation details ... 2023 DBLP  DOI  BibTeX  RDF
17Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters 0001 Pseudo-Likelihood Inference. Search on Bibsonomy CoRR The full citation details ... 2023 DBLP  DOI  BibTeX  RDF
17Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters Pseudo-Likelihood Inference. Search on Bibsonomy NeurIPS The full citation details ... 2023 DBLP  BibTeX  RDF
17Kimmo Suotsalo, Yingying Xu, Jukka Corander, Johan Pensar High-dimensional structure learning of sparse vector autoregressive models using fractional marginal pseudo-likelihood. Search on Bibsonomy Stat. Comput. The full citation details ... 2021 DBLP  DOI  BibTeX  RDF
17Martin Slawski, Guoqing Diao, Emanuel Ben-David A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data. Search on Bibsonomy J. Comput. Graph. Stat. The full citation details ... 2021 DBLP  DOI  BibTeX  RDF
17Jun 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 IEEE Commun. Lett. The full citation details ... 2021 DBLP  DOI  BibTeX  RDF
17Avni Rajpal, M. V. Achuth Rao, Chiranjeevi Yarra, Ritu Aggarwal, Prasanta Kumar Ghosh Pseudo Likelihood Correction Technique for Low Resource Accented ASR. Search on Bibsonomy ICASSP The full citation details ... 2020 DBLP  DOI  BibTeX  RDF
17Amit More, Subhasis Chaudhuri A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata. Search on Bibsonomy ACM Trans. Multim. Comput. Commun. Appl. The full citation details ... 2019 DBLP  DOI  BibTeX  RDF
17Martin Slawski, Guoqing Diao, Emanuel Ben-David A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. Search on Bibsonomy CoRR The full citation details ... 2019 DBLP  BibTeX  RDF
17Chunpeng Fan A pseudo likelihood approach to analyze rate difference of binary response data in longitudinal factorial studies. Search on Bibsonomy Commun. Stat. Simul. Comput. The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
17Jiafan Zhu, Luay Nakhleh Inference of species phylogenies from bi-allelic markers using pseudo-likelihood. Search on Bibsonomy Bioinform. The full citation details ... 2018 DBLP  DOI  BibTeX  RDF
17Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander Learning Gaussian graphical models with fractional marginal pseudo-likelihood. Search on Bibsonomy Int. J. Approx. Reason. The full citation details ... 2017 DBLP  DOI  BibTeX  RDF
17Cinzia 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 ISSI The full citation details ... 2017 DBLP  BibTeX  RDF
17Liu-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 Commun. Stat. Simul. Comput. The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
17Hien 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 Neural Comput. The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
17Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood. Search on Bibsonomy CoRR The full citation details ... 2016 DBLP  BibTeX  RDF
17P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. Search on Bibsonomy ECML/PKDD (1) The full citation details ... 2016 DBLP  DOI  BibTeX  RDF
17Wei 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 Comput. Stat. Data Anal. The full citation details ... 2015 DBLP  DOI  BibTeX  RDF
17Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. Search on Bibsonomy CoRR The full citation details ... 2014 DBLP  BibTeX  RDF
17P. K. Srijith, Balamurugan P., Shirish K. Shevade Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. Search on Bibsonomy CoRR The full citation details ... 2014 DBLP  BibTeX  RDF
17Teemu Ruokolainen, Miikka Silfverberg, Mikko Kurimo, Krister Lindén Accelerated Estimation of Conditional Random Fields using a Pseudo-Likelihood-inspired Perceptron Variant. Search on Bibsonomy EACL The full citation details ... 2014 DBLP  DOI  BibTeX  RDF
17Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. Search on Bibsonomy NIPS The full citation details ... 2014 DBLP  BibTeX  RDF
17Praveen 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 FUSION The full citation details ... 2014 DBLP  BibTeX  RDF
17Antonino Freno Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. Search on Bibsonomy AISTATS The full citation details ... 2012 DBLP  BibTeX  RDF
17Gaolei Fei, Guangmin Hu Temporal dependence network loss tomography using maximum pseudo likelihood method. Search on Bibsonomy ICOIN The full citation details ... 2012 DBLP  DOI  BibTeX  RDF
17Qiang Liu 0001, Alexander Ihler Distributed Parameter Estimation via Pseudo-likelihood . Search on Bibsonomy ICML The full citation details ... 2012 DBLP  BibTeX  RDF
17Oliver Schulte A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. Search on Bibsonomy SDM The full citation details ... 2011 DBLP  DOI  BibTeX  RDF
17Wenhui 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 BMC Bioinform. The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
17Ana 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 ICIP The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
17Ole F. Christensen, Asger Hobolth, Jens Ledet Jensen Pseudo-Likelihood Analysis of Codon Substitution Models with Neighbor-Dependent Rates. Search on Bibsonomy J. Comput. Biol. The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
17Annibale Biggeri, Emanuela Dreassi, Corrado Lagazio, Dankmar Böhning A transitional non-parametric maximum pseudo-likelihood estimator for disease mapping. Search on Bibsonomy Comput. Stat. Data Anal. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
17Gang Liang, Bin Yu 0001 Maximum pseudo likelihood estimation in network tomography. Search on Bibsonomy IEEE Trans. Signal Process. The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
17Gang Liang, Bin Yu 0001 Pseudo Likelihood Estimation in Network Tomography. Search on Bibsonomy INFOCOM The full citation details ... 2003 DBLP  DOI  BibTeX  RDF
17Jan-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 Pattern Recognit. Lett. The full citation details ... 2001 DBLP  DOI  BibTeX  RDF
17Peter S. Craig, Allan H. Seheult Pseudo-likelihood estimation for a class of spatial Markov chains. Search on Bibsonomy Stat. Comput. The full citation details ... 1996 DBLP  DOI  BibTeX  RDF
14Francesco Lagona Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data. Search on Bibsonomy J. Geogr. Syst. The full citation details ... 2002 DBLP  DOI  BibTeX  RDF
10Stanley Kok, Pedro M. Domingos Learning Markov logic network structure via hypergraph lifting. Search on Bibsonomy ICML The full citation details ... 2009 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos, Daniel Lowd, Stanley Kok, Hoifung Poon, Matthew Richardson, Parag Singla Just Add Weights: Markov Logic for the Semantic Web. Search on Bibsonomy URSW (LNCS Vol.) The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
10Alexandre 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 ICPR The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla Markov Logic. Search on Bibsonomy Probabilistic Inductive Logic Programming The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
10Tijmen Tieleman Training restricted Boltzmann machines using approximations to the likelihood gradient. Search on Bibsonomy ICML The full citation details ... 2008 DBLP  DOI  BibTeX  RDF
10François Destrempes, Max Mignotte, Jean-François Angers Localization of Shapes Using Statistical Models and Stochastic Optimization. Search on Bibsonomy IEEE Trans. Pattern Anal. Mach. Intell. The full citation details ... 2007 DBLP  DOI  BibTeX  RDF Shape localization, Exploration/Selection (E/S) algorithm, statistical model, stochastic optimization, Probabilistic Principal Component Analysis (PPCA)
10Pedro M. Domingos Learning, Logic, and Probability: A Unified View. Search on Bibsonomy PRICAI The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos Learning, Logic, and Probability: A Unified View. Search on Bibsonomy EKAW The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
10Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, Luca Bogoni A Learning Based Approach for 3D Segmentation and Colon Detagging. Search on Bibsonomy ECCV (3) The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos Learning, Logic, and Probability: A Unified View. Search on Bibsonomy IBERAMIA-SBIA The full citation details ... 2006 DBLP  DOI  BibTeX  RDF
10M. Sabry Hassouna, Aly A. Farag Stochastic segmentation of blood vessels from time-of-flight. Search on Bibsonomy ICIP (1) The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
10Stanley Kok, Pedro M. Domingos Learning the structure of Markov logic networks. Search on Bibsonomy ICML The full citation details ... 2005 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos Learning, Logic, and Probability: A Unified View. Search on Bibsonomy ALT The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
10Pedro M. Domingos Learning, Logic, and Probability: A Unified View. Search on Bibsonomy ILP The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
10Peter Carbonetto, Nando de Freitas, Kobus Barnard A Statistical Model for General Contextual Object Recognition. Search on Bibsonomy ECCV (1) The full citation details ... 2004 DBLP  DOI  BibTeX  RDF
10Michal Haindl Recursive Square-Root Filters. Search on Bibsonomy ICPR The full citation details ... 2000 DBLP  DOI  BibTeX  RDF
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