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. |
Stat. Comput. |
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. |
DAGM-Symposium |
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. |
SAC |
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. |
CSE |
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. |
IEEE ICCI |
2006 |
DBLP DOI BibTeX RDF |
|
36 | Antonino Freno, Edmondo Trentin, Marco Gori |
Scalable pseudo-likelihood estimation in hybrid random fields. |
KDD |
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. |
ICIP |
2008 |
DBLP DOI BibTeX RDF |
|
33 | Matthew Richardson, Pedro M. Domingos |
Markov logic networks. |
Mach. Learn. |
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. |
ICASSP |
2008 |
DBLP DOI BibTeX RDF |
|
27 | Cédric Herzet |
On the convergence of the iterative "pseudo likelihood" maximization algorithm. |
ICASSP |
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. |
Commun. Stat. Simul. Comput. |
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. |
Soc. Networks |
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. |
Comput. Stat. Data Anal. |
2007 |
DBLP DOI BibTeX RDF |
|
18 | Marenglen Biba, Stefano Ferilli, Floriana Esposito |
Towards Multistrategic Statistical Relational Learning. |
Advances in Machine Learning II |
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. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters 0001 |
Pseudo-Likelihood Inference. |
CoRR |
2023 |
DBLP DOI BibTeX RDF |
|
17 | Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan R. Peters |
Pseudo-Likelihood Inference. |
NeurIPS |
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. |
Stat. Comput. |
2021 |
DBLP DOI BibTeX RDF |
|
17 | Martin Slawski, Guoqing Diao, Emanuel Ben-David |
A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data. |
J. Comput. Graph. Stat. |
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. |
IEEE Commun. Lett. |
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. |
ICASSP |
2020 |
DBLP DOI BibTeX RDF |
|
17 | Amit More, Subhasis Chaudhuri |
A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata. |
ACM Trans. Multim. Comput. Commun. Appl. |
2019 |
DBLP DOI BibTeX RDF |
|
17 | Martin Slawski, Guoqing Diao, Emanuel Ben-David |
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data. |
CoRR |
2019 |
DBLP BibTeX RDF |
|
17 | Chunpeng Fan |
A pseudo likelihood approach to analyze rate difference of binary response data in longitudinal factorial studies. |
Commun. Stat. Simul. Comput. |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Jiafan Zhu, Luay Nakhleh |
Inference of species phylogenies from bi-allelic markers using pseudo-likelihood. |
Bioinform. |
2018 |
DBLP DOI BibTeX RDF |
|
17 | Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander |
Learning Gaussian graphical models with fractional marginal pseudo-likelihood. |
Int. J. Approx. Reason. |
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. |
ISSI |
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. |
Commun. Stat. Simul. Comput. |
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. |
Neural Comput. |
2016 |
DBLP DOI BibTeX RDF |
|
17 | Janne Leppä-aho, Johan Pensar, Teemu Roos, Jukka Corander |
Learning Gaussian Graphical Models With Fractional Marginal Pseudo-likelihood. |
CoRR |
2016 |
DBLP BibTeX RDF |
|
17 | P. K. Srijith, Balamurugan Palaniappan, Shirish K. Shevade |
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. |
ECML/PKDD (1) |
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. |
Comput. Stat. Data Anal. |
2015 |
DBLP DOI BibTeX RDF |
|
17 | Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam |
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. |
CoRR |
2014 |
DBLP BibTeX RDF |
|
17 | P. K. Srijith, Balamurugan P., Shirish K. Shevade |
Gaussian Process Pseudo-Likelihood Models for Sequence Labeling. |
CoRR |
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. |
EACL |
2014 |
DBLP DOI BibTeX RDF |
|
17 | Sang-Yun Oh, Onkar Dalal, Kshitij Khare, Bala Rajaratnam |
Optimization Methods for Sparse Pseudo-Likelihood Graphical Model Selection. |
NIPS |
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. |
FUSION |
2014 |
DBLP BibTeX RDF |
|
17 | Antonino Freno |
Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields. |
AISTATS |
2012 |
DBLP BibTeX RDF |
|
17 | Gaolei Fei, Guangmin Hu |
Temporal dependence network loss tomography using maximum pseudo likelihood method. |
ICOIN |
2012 |
DBLP DOI BibTeX RDF |
|
17 | Qiang Liu 0001, Alexander Ihler |
Distributed Parameter Estimation via Pseudo-likelihood . |
ICML |
2012 |
DBLP BibTeX RDF |
|
17 | Oliver Schulte |
A Tractable Pseudo-Likelihood Function for Bayes Nets Applied to Relational Data. |
SDM |
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. |
BMC Bioinform. |
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. |
ICIP |
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. |
J. Comput. Biol. |
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. |
Comput. Stat. Data Anal. |
2003 |
DBLP DOI BibTeX RDF |
|
17 | Gang Liang, Bin Yu 0001 |
Maximum pseudo likelihood estimation in network tomography. |
IEEE Trans. Signal Process. |
2003 |
DBLP DOI BibTeX RDF |
|
17 | Gang Liang, Bin Yu 0001 |
Pseudo Likelihood Estimation in Network Tomography. |
INFOCOM |
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. |
Pattern Recognit. Lett. |
2001 |
DBLP DOI BibTeX RDF |
|
17 | Peter S. Craig, Allan H. Seheult |
Pseudo-likelihood estimation for a class of spatial Markov chains. |
Stat. Comput. |
1996 |
DBLP DOI BibTeX RDF |
|
14 | Francesco Lagona |
Adjacency selection in Markov Random Fields for high spatial resolution hyperspectral data. |
J. Geogr. Syst. |
2002 |
DBLP DOI BibTeX RDF |
|
10 | Stanley Kok, Pedro M. Domingos |
Learning Markov logic network structure via hypergraph lifting. |
ICML |
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. |
URSW (LNCS Vol.) |
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. |
ICPR |
2008 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos, Stanley Kok, Daniel Lowd, Hoifung Poon, Matthew Richardson, Parag Singla |
Markov Logic. |
Probabilistic Inductive Logic Programming |
2008 |
DBLP DOI BibTeX RDF |
|
10 | Tijmen Tieleman |
Training restricted Boltzmann machines using approximations to the likelihood gradient. |
ICML |
2008 |
DBLP DOI BibTeX RDF |
|
10 | François Destrempes, Max Mignotte, Jean-François Angers |
Localization of Shapes Using Statistical Models and Stochastic Optimization. |
IEEE Trans. Pattern Anal. Mach. Intell. |
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. |
PRICAI |
2006 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. |
EKAW |
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. |
ECCV (3) |
2006 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. |
IBERAMIA-SBIA |
2006 |
DBLP DOI BibTeX RDF |
|
10 | M. Sabry Hassouna, Aly A. Farag |
Stochastic segmentation of blood vessels from time-of-flight. |
ICIP (1) |
2005 |
DBLP DOI BibTeX RDF |
|
10 | Stanley Kok, Pedro M. Domingos |
Learning the structure of Markov logic networks. |
ICML |
2005 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. |
ALT |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Pedro M. Domingos |
Learning, Logic, and Probability: A Unified View. |
ILP |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Peter Carbonetto, Nando de Freitas, Kobus Barnard |
A Statistical Model for General Contextual Object Recognition. |
ECCV (1) |
2004 |
DBLP DOI BibTeX RDF |
|
10 | Michal Haindl |
Recursive Square-Root Filters. |
ICPR |
2000 |
DBLP DOI BibTeX RDF |
|