| Adversarial learning D Lowd, C Meek Proceedings of the eleventh ACM SIGKDD international conference on Knowledge …, 2005 | 913 | 2005 |
| Large-sample learning of Bayesian networks is NP-hard M Chickering, D Heckerman, C Meek Journal of Machine Learning Research 5, 1287-1330, 2004 | 877 | 2004 |
| Wikiqa: A challenge dataset for open-domain question answering Y Yang, W Yih, C Meek Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 827 | 2015 |
| Dependency networks for inference, collaborative filtering, and data visualization D Heckerman, DM Chickering, C Meek, R Rounthwaite, C Kadie Journal of Machine Learning Research 1 (Oct), 49-75, 2000 | 784 | 2000 |
| Causal inference and causal explanation with background knowledge C Meek arXiv preprint arXiv:1302.4972, 2013 | 642 | 2013 |
| Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications DE Heckerman, PS Bradley, DM Chickering, CA Meek US Patent 7,333,998, 2008 | 491 | 2008 |
| Semantic parsing for single-relation question answering W Yih, X He, C Meek Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014 | 486 | 2014 |
| Visualization of navigation patterns on a web site using model-based clustering I Cadez, D Heckerman, C Meek, P Smyth, S White Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 485 | 2000 |
| A Bayesian approach to learning Bayesian networks with local structure DM Chickering, D Heckerman, C Meek arXiv preprint arXiv:1302.1528, 2013 | 480 | 2013 |
| Similarity measures for short segments of text D Metzler, S Dumais, C Meek Advances in Information Retrieval: 29th European Conference on IR Research …, 2007 | 428 | 2007 |
| Causal inference in the presence of latent variables and selection bias PL Spirtes, C Meek, TS Richardson arXiv preprint arXiv:1302.4983, 2013 | 415 | 2013 |
| Good Word Attacks on Statistical Spam Filters. D Lowd, C Meek CEAS 2005, 2005 | 391 | 2005 |
| Identifying similarities, periodicities and bursts for online search queries M Vlachos, C Meek, Z Vagena, D Gunopulos Proceedings of the 2004 ACM SIGMOD international conference on Management of …, 2004 | 360 | 2004 |
| The value of semantic parse labeling for knowledge base question answering W Yih, M Richardson, C Meek, MW Chang, J Suh Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 348 | 2016 |
| Model-based clustering and visualization of navigation patterns on a web site I Cadez, D Heckerman, C Meek, P Smyth, S White Data mining and knowledge discovery 7, 399-424, 2003 | 340 | 2003 |
| Strong completeness and faithfulness in Bayesian networks C Meek arXiv preprint arXiv:1302.4973, 2013 | 339 | 2013 |
| Content-targeted advertising for interactive computer-based applications J Goodman, C Meek, C Kadie US Patent App. 11/042,246, 2006 | 311 | 2006 |
| Learning discriminative projections for text similarity measures W Yih, K Toutanova, JC Platt, C Meek Proceedings of the fifteenth conference on computational natural language …, 2011 | 299 | 2011 |
| Apparatus and accompanying methods for visualizing clusters of data and hierarchical cluster classifications DE Heckerman, PS Bradley, DM Chickering, CA Meek US Patent 6,742,003, 2004 | 294 | 2004 |
| Dynamic controlling of attribute-specific list for improved object organization CA Meek US Patent 6,732,155, 2004 | 292 | 2004 |
