Christopher Meek

Machine Learning Department, Microsoft Research

	2011
66		Darko Kirovski, Christopher Meek: Tunneled TLS for multi-factor authentication. Digital Rights Management Workshop 2011: 31-40
65		Asela Gunawardana, Christopher Meek, Puyang Xu: A Model for Temporal Dependencies in Event Streams. NIPS 2011: 1962-1970
64		Christopher Meek: Finding a Path is Harder than Finding a Tree CoRR abs/1106.1799: (2011)
63		Greg Linden, Christopher Meek, Max Chickering: The Pollution Effect: Optimizing Keyword Auctions by Favoring Relevant Advertising CoRR abs/1109.6263: (2011)
62		Guy Shani, Asela Gunawardana, Christopher Meek: Unsupervised hierarchical probabilistic segmentation of discrete events. Intell. Data Anal. 15(4): 483-501 (2011)
	2010
61		Asela Gunawardana, Tim Paek, Christopher Meek: Usability guided key-target resizing for soft keyboards. IUI 2010: 111-118
60		Jim C. Huang, Nebojsa Jojic, Christopher Meek: Exact inference and learning for cumulative distribution functions on loopy graphs. NIPS 2010: 874-882
59		Sivan Bercovici, Christopher Meek, Ydo Wexler, Dan Geiger: Estimating genome-wide IBD sharing from SNP data via an efficient hidden Markov model of LD with application to gene mapping. Bioinformatics [ISMB] 26(12): 175-182 (2010)
	2009
58		Guy Shani, Christopher Meek, Asela Gunawardana: Hierarchical Probabilistic Segmentation of Discrete Events. ICDM 2009: 974-979
57		Guy Shani, Christopher Meek, Tim Paek, Bo Thiesson, Gina Danielle Venolia: Searching large indexes on tiny devices: optimizing binary search with character pinning. IUI 2009: 257-266
56		Guy Shani, Christopher Meek: Improving Existing Fault Recovery Policies. NIPS 2009: 1642-1650
55		Asela Gunawardana, Christopher Meek: A unified approach to building hybrid recommender systems. RecSys 2009: 117-124
54		Dan Geiger, Christopher Meek, Ydo Wexler: Speeding up HMM algorithms for genetic linkage analysis via chain reductions of the state space. Bioinformatics 25(12): (2009)
53		Chong Wang, Bo Thiesson, Christopher Meek, David M. Blei: Markov Topic Models. Journal of Machine Learning Research - Proceedings Track 5: 583-590 (2009)
	2008
52		Ece Kamar, Eric Horvitz, Christopher Meek: Mobile opportunistic commerce: mechanisms, architecture, and application. AAMAS (2) 2008: 1087-1094
51		Ming-wei Chang, Wen-tau Yih, Christopher Meek: Partitioned logistic regression for spam filtering. KDD 2008: 97-105
50		Ydo Wexler, Christopher Meek: MAS: a multiplicative approximation scheme for probabilistic inference. NIPS 2008: 1761-1768
49		Asela Gunawardana, Christopher Meek: Tied boltzmann machines for cold start recommendations. RecSys 2008: 19-26
48		Guy Shani, David Maxwell Chickering, Christopher Meek: Mining recommendations from the web. RecSys 2008: 35-42
47		Ydo Wexler, Christopher Meek: Inference for Multiplicative Models. UAI 2008: 595-602
	2007
46		Hila Becker, Christopher Meek, David Maxwell Chickering: Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315
45		Wen-tau Yih, Christopher Meek: Improving Similarity Measures for Short Segments of Text. AAAI 2007: 1489-1494
44		Donald Metzler, Susan T. Dumais, Christopher Meek: Similarity Measures for Short Segments of Text. ECIR 2007: 16-27
43		Tim Paek, Yun-Cheng Ju, Christopher Meek: People watcher: a game for eliciting human-transcribed data for automated directory assistance. INTERSPEECH 2007: 1322-1325
	2006
42		David Maxwell Chickering, Christopher Meek: On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006)
41		Michail Vlachos, Philip S. Yu, Vittorio Castelli, Christopher Meek: Structural Periodic Measures for Time-Series Data. Data Min. Knowl. Discov. 12(1): 1-28 (2006)
40		Dan Geiger, Christopher Meek, Ydo Wexler: A Variational Inference Procedure Allowing Internal Structure for Overlapping Clusters and Deterministic Constraints. J. Artif. Intell. Res. (JAIR) 27: 1-23 (2006)
39		Serkan Hosten, Christopher Meek: Preface. J. Symb. Comput. 41(2): 123-124 (2006)
	2005
38		Daniel Lowd, Christopher Meek: Good Word Attacks on Statistical Spam Filters. CEAS 2005
37		Daniel Lowd, Christopher Meek: Adversarial learning. KDD 2005: 641-647
36		Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman: Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS 2005
	2004
35		Vladimir Jojic, Nebojsa Jojic, Christopher Meek, Dan Geiger, Adam C. Siepel, David Haussler, David Heckerman: Efficient approximations for learning phylogenetic HMM models from data. ISMB/ECCB (Supplement of Bioinformatics) 2004: 161-168
34		Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos: Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142
33		Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek: ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560
32		David Maxwell Chickering, David Heckerman, Christopher Meek: Large-Sample Learning of Bayesian Networks is NP-Hard. Journal of Machine Learning Research 5: 1287-1330 (2004)
	2003
31		Christopher Meek, Uffe Kjærulff: UAI '03, Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence, Acapulco, Mexico, August 7-10 2003 Morgan Kaufmann 2003
30		David Maxwell Chickering, Christopher Meek, David Heckerman: Large-Sample Learning of Bayesian Networks is NP-Hard. UAI 2003: 124-133
29		Christopher Meek, David Maxwell Chickering: Practically Perfect. UAI 2003: 411-416
28		Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White: Model-Based Clustering and Visualization of Navigation Patterns on a Web Site. Data Min. Knowl. Discov. 7(4): 399-424 (2003)
	2002
27		Christopher Meek, David Maxwell Chickering, David Heckerman: Autoregressive Tree Models for Time-Series Analysis. SDM 2002
26		Dan Geiger, Christopher Meek, Bernd Sturmfels: Factorization of Discrete Probability Distributions. UAI 2002: 162-169
25		Carl Myers Kadie, Christopher Meek, David Heckerman: CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250
24		Christopher Meek, Bo Thiesson, David Heckerman: Staged Mixture Modelling and Boosting. UAI 2002: 335-343
23		David Maxwell Chickering, Christopher Meek: Finding Optimal Bayesian Networks. UAI 2002: 94-102
22		Christopher Meek, Bo Thiesson, David Heckerman: The Learning-Curve Sampling Method Applied to Model-Based Clustering. Journal of Machine Learning Research 2: 397-418 (2002)
	2001
21		David Maxwell Chickering, Christopher Meek, Robert Rounthwaite: Efficient Determination of Dynamic Split Points in a Decision Tree. ICDM 2001: 91-98
20		Andrew Zimdars, David Maxwell Chickering, Christopher Meek: Using Temporal Data for Making Recommendations. UAI 2001: 580-588
19		Christopher Meek: Finding a Path is Harder than Finding a Tree. J. Artif. Intell. Res. (JAIR) 15: 383-389 (2001)
18		Bo Thiesson, Christopher Meek, David Heckerman: Accelerating EM for Large Databases. Machine Learning 45(3): 279-299 (2001)
	2000
17		Jake D. Brutlag, Christopher Meek: Challenges of the Email Domain for Text Classification. ICML 2000: 103-110
16		Heikki Mannila, Christopher Meek: Global partial orders from sequential data. KDD 2000: 161-168
15		Igor V. Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White: Visualization of navigation patterns on a Web site using model-based clustering. KDD 2000: 280-284
14		Ann Becker, Dan Geiger, Christopher Meek: Perfect Tree-like Markovian Distributions. UAI 2000: 19-23
13		David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
12		David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. Journal of Machine Learning Research 1: 49-75 (2000)
	1999
11		Dan Geiger, Christopher Meek: Quantifier Elimination for Statistical Problems. UAI 1999: 226-235
	1998
10		Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman: Learning Mixtures of DAG Models. UAI 1998: 504-513
	1997
9		David Heckerman, Christopher Meek: Models and Selection Criteria for Regression and Classification. UAI 1997: 223-228
8		Christopher Meek, David Heckerman: Structure and Parameter Learning for Causal Independence and Causal Interaction Models. UAI 1997: 366-375
7		David Maxwell Chickering, David Heckerman, Christopher Meek: A Bayesian Approach to Learning Bayesian Networks with Local Structure. UAI 1997: 80-89
6		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: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
	1996
5		Dan Geiger, David Heckerman, Christopher Meek: Asymptotic Model Selection for Directed Networks with Hidden Variables. UAI 1996: 283-290
	1995
4		Peter Spirtes, Christopher Meek: Learning Bayesian Networks with Discrete Variables from Data. KDD 1995: 294-299
3		Christopher Meek: Causal inference and causal explanation with background knowledge. UAI 1995: 403-410
2		Christopher Meek: Strong completeness and faithfulness in Bayesian networks. UAI 1995: 411-418
1		Peter Spirtes, Christopher Meek, Thomas Richardson: Causal Inference in the Presence of Latent Variables and Selection Bias. UAI 1995: 499-506

Coauthor Index

1	Constantin F. Aliferis	[6]
2	Richard Ambrosino	[6]
3	John M. Aronis	[6]
4	Ann Becker	[14]
5	Hila Becker	[46]
6	Sivan Bercovici	[59]
7	David M. Blei	[53]
8	Jake D. Brutlag	[17]
9	Bruce G. Buchanan	[6]
10	Igor V. Cadez	[15] [28]
11	Rich Caruana	[6]
12	Vittorio Castelli	[41]
13	Ming-wei Chang	[51]
14	David Maxwell Chickering (Max Chickering)	[7] [10] [12] [13] [20] [21] [23] [27] [29] [30] [32] [33] [42] [46] [48] [63]
15	Gregory F. Cooper	[6]
16	Susan T. Dumais	[44]
17	Michael J. Fine	[6]
18	Brendan J. Frey	[36]
19	Dan Geiger	[5] [11] [14] [26] [35] [40] [54] [59]
20	Clark Glymour	[6]
21	Geoffrey J. Gordon	[6]
22	Asela Gunawardana	[49] [55] [58] [61] [62] [65]
23	Dimitrios Gunopulos	[34]
24	Barbara H. Hanusa	[6]
25	David Haussler	[35]
26	David Heckerman	[5] [7] [8] [9] [10] [12] [13] [15] [18] [22] [24] [25] [27] [28] [30] [32] [33] [35] [36]
27	Eric Horvitz	[52]
28	Serkan Hosten	[39]
29	Jim C. Huang	[60]
30	Janine E. Janosky	[6]
31	Nebojsa Jojic	[35] [36] [60]
32	Vladimir Jojic	[35] [36]
33	Yun-Cheng Ju	[43]
34	Carl Myers Kadie	[12] [13] [25]
35	Ece Kamar	[52]
36	Darko Kirovski	[66]
37	Uffe Kjærulff	[31]
38	Greg Linden	[63]
39	Daniel Lowd	[37] [38]
40	Heikki Mannila	[16]
41	Donald Metzler	[44]
42	Tom M. Mitchell	[6]
43	Tim Paek	[43] [57] [61]
44	Thomas Richardson	[1] [6]
45	Robert Rounthwaite	[12] [13] [21]
46	Guy Shani	[48] [56] [57] [58] [62]
47	Adam C. Siepel	[35]
48	Padhraic Smyth	[15] [28]
49	Peter Spirtes	[1] [4] [6]
50	Bernd Sturmfels	[26]
51	Bo Thiesson	[10] [18] [22] [24] [33] [53] [57]
52	Zografoula Vagena	[34]
53	Gina Venolia (Gina Danielle Venolia)	[57]
54	Michail Vlachos	[34] [41]
55	Chong Wang	[53]
56	Ydo Wexler	[40] [47] [50] [54] [59]
57	Steven White	[15] [28]
58	Puyang Xu	[65]
59	Wen-tau Yih	[45] [51]
60	Philip S. Yu	[41]
61	Andrew Zimdars	[20]

Colors in the list of coauthors

Last update Sun Jun 3 16:06:10 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page