Christopher Meek

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2011
62Finding a Path is Harder than Finding a Tree. Christopher Meek. CoRR (abs/1106.1799) (2011). Web SearchBibTeXDownload
61The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising. Greg Linden, Christopher Meek, Max Chickering. CoRR (abs/1109.6263) (2011). Web SearchBibTeXDownload
60Unsupervised hierarchical probabilistic segmentation of discrete events. Guy Shani, Asela Gunawardana, Christopher Meek. Intell. Data Anal. (15): 483-501 (2011). Web SearchBibTeXDownload
2010
59Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger. Bioinformatics [ISMB] (26): 175-182 (2010). Web SearchBibTeXDownload
58Usability guided key-target resizing for soft keyboards. Asela Gunawardana, Tim Paek, Christopher Meek. IUI 2010, 111-118. Web SearchBibTeXDownload
57Exact inference and learning for cumulative distribution functions on loopy graphs. Jim C. Huang, Nebojsa Jojic, Christopher Meek. NIPS 2010, 874-882. Web SearchBibTeXDownload
2009
56Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Dan Geiger, Christopher Meek, Ydo Wexler. Bioinformatics (25) (2009). Web SearchBibTeXDownload
55Hierarchical Probabilistic Segmentation of Discrete Events. Guy Shani, Christopher Meek, Asela Gunawardana. ICDM 2009, 974-979. Web SearchBibTeXDownload
54Searching large indexes on tiny devices: optimizing binary search with character pinning. Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia. IUI 2009, 257-266. Web SearchBibTeXDownload
53Markov Topic Models. Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei. Journal of Machine Learning Research - Proceedings Track (5): 583-590 (2009). Web SearchBibTeXDownload
52Improving Existing Fault Recovery Policies. Guy Shani, Christopher Meek. NIPS 2009, 1642-1650. Web SearchBibTeXDownload
51A unified approach to building hybrid recommender systems. Asela Gunawardana, Christopher Meek. RecSys 2009, 117-124. Web SearchBibTeXDownload
2008
50Mobile opportunistic commerce: mechanisms, architecture, and application. Ece Kamar, Eric Horvitz, Christopher Meek. AAMAS (2) 2008, 1087-1094. Web SearchBibTeXDownload
49Partitioned logistic regression for spam filtering. Ming-wei Chang, Wen-tau Yih, Christopher Meek. KDD 2008, 97-105. Web SearchBibTeXDownload
48MAS: a multiplicative approximation scheme for probabilistic inference. Ydo Wexler, Christopher Meek. NIPS 2008, 1761-1768. Web SearchBibTeXDownload
47Mining recommendations from the web. Guy Shani, David Maxwell Chickering, Christopher Meek. RecSys 2008, 35-42. Web SearchBibTeXDownload
46Tied boltzmann machines for cold start recommendations. Asela Gunawardana, Christopher Meek. RecSys 2008, 19-26. Web SearchBibTeXDownload
45Inference for Multiplicative Models. Ydo Wexler, Christopher Meek. UAI 2008, 595-602. Web SearchBibTeXDownload
2007
44Modeling Contextual Factors of Click Rates. Hila Becker, Christopher Meek, David Maxwell Chickering. AAAI 2007, 1310-1315. Web SearchBibTeX
43Improving Similarity Measures for Short Segments of Text. Wen-tau Yih, Christopher Meek. AAAI 2007, 1489-1494. Web SearchBibTeX
42Similarity Measures for Short Segments of Text. Donald Metzler, Susan T. Dumais, Christopher Meek. ECIR 2007, 16-27. Web SearchBibTeXDownload
41People watcher: a game for eliciting human-transcribed data for automated directory assistance. Tim Paek, Yun-Cheng Ju, Christopher Meek. INTERSPEECH 2007, 1322-1325. Web SearchBibTeXDownload
2006
40On the incompatibility of faithfulness and monotone DAG faithfulness. David Maxwell Chickering, Christopher Meek. Artif. Intell. (170): 653-666 (2006). Web SearchBibTeXDownload
39Structural Periodic Measures for Time-Series Data. Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek. Data Min. Knowl. Discov. (12): 1-28 (2006). Cited by 4Web SearchBibTeXDownload
38A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. Dan Geiger, Christopher Meek, Ydo Wexler. J. Artif. Intell. Res. (JAIR) (27): 1-23 (2006). Web SearchBibTeXDownload
2005
37Good Word Attacks on Statistical Spam Filters. Daniel Lowd, Christopher Meek. CEAS 2005. Web SearchBibTeXDownload
36Adversarial learning. Daniel Lowd, Christopher Meek. KDD 2005, 641-647. Web SearchBibTeXDownload
35Using epitomes to model genetic diversity: Rational design of HIV vaccines. Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman. NIPS 2005. Web SearchBibTeXDownload
2004
34Efficient approximations for learning phylogenetic HMM models from data. Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman. ISMB/ECCB (Supplement of Bioinformatics) 2004, 161-168. Web SearchBibTeXDownload
33Large-Sample Learning of Bayesian Networks is NP-Hard. David Maxwell Chickering, Christopher Meek, David Heckerman. Journal of Machine Learning Research (5): 1287-1330 (2004). Web SearchBibTeXDownload
32Identifying Similarities, Periodicities and Bursts for Online Search Queries. Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos. SIGMOD Conference 2004, 131-142. Cited by 74Web SearchBibTeXDownload
31ARMA Time-Series Modeling with Graphical Models. Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek. UAI 2004, 552-560. Web SearchBibTeXDownload
2003
30Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White. Data Min. Knowl. Discov. (7): 399-424 (2003). Web SearchBibTeXDownload
29Large-Sample Learning of Bayesian Networks is NP-Hard. David Maxwell Chickering, Christopher Meek, David Heckerman. UAI 2003, 124-133. Web SearchBibTeXDownload
28Practically Perfect. Christopher Meek, David Maxwell Chickering. UAI 2003, 411-416. Web SearchBibTeXDownload
2002
27The Learning-Curve Sampling Method Applied to Model-Based Clustering. Christopher Meek, Bo Thiesson, David Heckerman. Journal of Machine Learning Research (2): 397-418 (2002). Web SearchBibTeXDownload
26Autoregressive Tree Models for Time-Series Analysis. Christopher Meek, David Maxwell Chickering, David Heckerman. SDM 2002. Web SearchBibTeXDownload
25Factorization of Discrete Probability Distributions. Dan Geiger, Christopher Meek, Bernd Sturmfels. UAI 2002, 162-169. Web SearchBibTeXDownload
24Finding Optimal Bayesian Networks. David Maxwell Chickering, Christopher Meek. UAI 2002, 94-102. Web SearchBibTeXDownload
23Staged Mixture Modelling and Boosting. Christopher Meek, Bo Thiesson, David Heckerman. UAI 2002, 335-343. Web SearchBibTeXDownload
22CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. Carl Myers Kadie, Christopher Meek, David Heckerman. UAI 2002, 242-250. Web SearchBibTeXDownload
2001
21Efficient Determination of Dynamic Split Points in a Decision Tree. David Maxwell Chickering, Christopher Meek, Robert Rounthwaite. ICDM 2001, 91-98. Web SearchBibTeXDownload
20Finding a Path is Harder than Finding a Tree. Christopher Meek. J. Artif. Intell. Res. (JAIR) (15): 383-389 (2001). Web SearchBibTeXDownload
19Accelerating EM for Large Databases. Bo Thiesson, Christopher Meek, David Heckerman. Machine Learning (45): 279-299 (2001). Web SearchBibTeXDownload
18Using Temporal Data for Making Recommendations. Andrew Zimdars, David Maxwell Chickering, Christopher Meek. UAI 2001, 580-588. Web SearchBibTeXDownload
2000
17Challenges of the Email Domain for Text Classification. Jake D. Brutlag, Christopher Meek. ICML 2000, 103-110. Web SearchBibTeX
16Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie. Journal of Machine Learning Research (1): 49-75 (2000). Web SearchBibTeXDownload
15Visualization of navigation patterns on a Web site using model-based clustering. Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White. KDD 2000, 280-284. Web SearchBibTeXDownload
14Global partial orders from sequential data. Heikki Mannila, Christopher Meek. KDD 2000, 161-168. Cited by 73Web SearchBibTeXDownload
13Perfect Tree-like Markovian Distributions. Ann Becker, Dan Geiger, Christopher Meek. UAI 2000, 19-23. Web SearchBibTeXDownload
12Dependency Networks for Collaborative Filtering and Data Visualization. David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie. UAI 2000, 264-273. Web SearchBibTeXDownload
1999
11Quantifier Elimination for Statistical Problems. Dan Geiger, Christopher Meek. UAI 1999, 226-235. Web SearchBibTeXDownload
1998
10Learning Mixtures of DAG Models. Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman. UAI 1998, 504-513. Web SearchBibTeXDownload
1997
9An evaluation of machine-learning methods for predicting pneumonia mortality. Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson, Peter Spirtes. Artificial Intelligence in Medicine (9): 107-138 (1997). Web SearchBibTeXDownload
8A Bayesian Approach to Learning Bayesian Networks with Local Structure. David Maxwell Chickering, David Heckerman, Christopher Meek. UAI 1997, 80-89. Web SearchBibTeXDownload
7Models and Selection Criteria for Regression and Classification. David Heckerman, Christopher Meek. UAI 1997, 223-228. Web SearchBibTeXDownload
6Structure and Parameter Learning for Causal Independence and Causal Interaction Models. Christopher Meek, David Heckerman. UAI 1997, 366-375. Web SearchBibTeXDownload
1996
5Asymptotic Model Selection for Directed Networks with Hidden Variables. Dan Geiger, David Heckerman, Christopher Meek. UAI 1996, 283-290. Web SearchBibTeXDownload
1995
4Learning Bayesian Networks with Discrete Variables from Data. Peter Spirtes, Christopher Meek. KDD 1995, 294-299. Web SearchBibTeX
3Strong completeness and faithfulness in Bayesian networks. Christopher Meek. UAI 1995, 411-418. Web SearchBibTeXDownload
2Causal inference and causal explanation with background knowledge. Christopher Meek. UAI 1995, 403-410. Web SearchBibTeXDownload
1Causal Inference in the Presence of Latent Variables and Selection Bias. Peter Spirtes, Christopher Meek, Thomas Richardson. UAI 1995, 499-506. Web SearchBibTeXDownload
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References
1. ^ KDD 2008: Research Track Program Committee - Retrieved 2009-11-21 - details
2. ^ AAAI-07 / IAAI-07 Conference Officials - Retrieved 2011-04-08 - details
3. ^ KDD 2007 Conference - Organizers Page - Retrieved 2009-11-21 - details
4. ^ http://www.cse.unsw.edu.au/~icml2002/refs.html - Retrieved 2011-03-19 - details
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