Introduction to Statistical Relational Learning L Getoor, B Taskar MIT Press, 2007 | 1949 | 2007 |
Max-margin Markov networks B Taskar, C Guestrin, D Koller Advances in neural information processing systems 16, 2003 | 1732 | 2003 |
Determinantal point processes for machine learning A Kulesza, B Taskar Foundations and Trends® in Machine Learning 5 (2–3), 123-286, 2012 | 1000 | 2012 |
Discriminative probabilistic models for relational data B Taskar, P Abbeel, D Koller arXiv preprint arXiv:1301.0604, 2012 | 929 | 2012 |
Learning structured prediction models: A large margin approach B Taskar, V Chatalbashev, D Koller, C Guestrin Proceedings of the 22nd international conference on Machine learning, 896-903, 2005 | 659 | 2005 |
Link prediction in relational data B Taskar, MF Wong, P Abbeel, D Koller Advances in neural information processing systems 16, 2003 | 643 | 2003 |
Posterior regularization for structured latent variable models K Ganchev, J Graça, J Gillenwater, B Taskar The Journal of Machine Learning Research 11, 2001-2049, 2010 | 574 | 2010 |
Joint covariate selection and joint subspace selection for multiple classification problems G Obozinski, B Taskar, MI Jordan Statistics and Computing 20, 231-252, 2010 | 565 | 2010 |
Alignment by agreement P Liang, B Taskar, D Klein | 559 | 2006 |
Modec: Multimodal decomposable models for human pose estimation B Sapp, B Taskar Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 521 | 2013 |
Predicting structured data G BakIr, T Hofmann, B Scholkopf, A Smola, B Taskar, SVN Vishanathan The MIT Press, 2007 | 516 | 2007 |
Discriminative learning of markov random fields for segmentation of 3d scan data D Anguelov, B Taskar, V Chatalbashev, D Koller, D Gupta, G Heitz, A Ng Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer …, 2005 | 503 | 2005 |
Learning from partial labels T Cour, B Sapp, B Taskar The Journal of Machine Learning Research 12, 1501-1536, 2011 | 461 | 2011 |
Multi-task feature selection G Obozinski, B Taskar, M Jordan Statistics Department, UC Berkeley, Tech. Rep 2 (2.2), 2, 2006 | 430 | 2006 |
Probabilistic classification and clustering in relational data B Taskar, E Segal, D Koller International joint conference on artificial intelligence 17 (1), 870-878, 2001 | 385 | 2001 |
Learning probabilistic models of link structure L Getoor, N Friedman, D Koller, B Taskar Journal of Machine Learning Research 3 (Dec), 679-707, 2002 | 374 | 2002 |
Rich probabilistic models for gene expression E Segal, B Taskar, A Gasch, N Friedman, D Koller Bioinformatics 17 (suppl_1), S243-S252, 2001 | 374 | 2001 |
Selectivity estimation using probabilistic models L Getoor, B Taskar, D Koller Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001 | 336 | 2001 |
An end-to-end discriminative approach to machine translation P Liang, A Bouchard-Côté, D Klein, B Taskar Proceedings of the 21st International Conference on Computational …, 2006 | 334 | 2006 |
Max-margin parsing B Taskar, D Klein, M Collins, D Koller, CD Manning Proceedings of the 2004 Conference on Empirical Methods in Natural Language …, 2004 | 288 | 2004 |