Christopher Meek

2007
45		Hila Becker, Christopher Meek, David Maxwell Chickering: Modeling Contextual Factors of Click Rates. AAAI 2007: 1310-1315
44		Wen-tau Yih, Christopher Meek: Improving Similarity Measures for Short Segments of Text. AAAI 2007: 1489-1494
43	EE	Donald Metzler, Susan T. Dumais, Christopher Meek: Similarity Measures for Short Segments of Text. ECIR 2007: 16-27
2006
42	EE	David Maxwell Chickering, Christopher Meek: On the incompatibility of faithfulness and monotone DAG faithfulness. Artif. Intell. 170(8-9): 653-666 (2006)
41	EE	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	EE	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	EE	Serkan Hosten, Christopher Meek: Preface. J. Symb. Comput. 41(2): 123-124 (2006)
2005
38	EE	Daniel Lowd, Christopher Meek: Good Word Attacks on Statistical Spam Filters. CEAS 2005
37	EE	Daniel Lowd, Christopher Meek: Adversarial learning. KDD 2005: 641-647
36	EE	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	EE	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	EE	Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos: Identifying Similarities, Periodicities and Bursts for Online Search Queries. SIGMOD Conference 2004: 131-142
33	EE	Bo Thiesson, David Maxwell Chickering, David Heckerman, Christopher Meek: ARMA Time-Series Modeling with Graphical Models. UAI 2004: 552-560
32	EE	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, August 7-10 2003, Acapulco, Mexico 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	EE	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	EE	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	EE	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	EE	Andrew Zimdars, David Maxwell Chickering, Christopher Meek: Using Temporal Data for Making Recommendations. UAI 2001: 580-588
19	EE	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	EE	Heikki Mannila, Christopher Meek: Global partial orders from sequential data. KDD 2000: 161-168
15	EE	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	EE	Ann Becker, Dan Geiger, Christopher Meek: Perfect Tree-like Markovian Distributions. UAI 2000: 19-23
13	EE	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	EE	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	EE	Dan Geiger, Christopher Meek: Quantifier Elimination for Statistical Problems. UAI 1999: 226-235
1998
10	EE	Bo Thiesson, Christopher Meek, David Maxwell Chickering, David Heckerman: Learning Mixtures of DAG Models. UAI 1998: 504-513
1997
9	EE	David Heckerman, Christopher Meek: Models and Selection Criteria for Regression and Classification. UAI 1997: 223-228
8	EE	Christopher Meek, David Heckerman: Structure and Parameter Learning for Causal Independence and Causal Interaction Models. UAI 1997: 366-375
7	EE	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, R. Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, G. Gordon, B. 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	EE	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	EE	Christopher Meek: Causal inference and causal explanation with background knowledge. UAI 1995: 403-410
2	EE	Christopher Meek: Strong completeness and faithfulness in Bayesian networks. UAI 1995: 411-418
1	EE	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	R. Ambrosino	[6]
3	John M. Aronis	[6]
4	Ann Becker	[14]
5	Hila Becker	[45]
6	Jake D. Brutlag	[17]
7	Bruce G. Buchanan	[6]
8	Igor V. Cadez	[15] [28]
9	Rich Caruana	[6]
10	Vittorio Castelli	[41]
11	David Maxwell Chickering	[7] [10] [12] [13] [20] [21] [23] [27] [29] [30] [32] [33] [42] [45]
12	Gregory F. Cooper	[6]
13	Susan T. Dumais	[43]
14	Michael J. Fine	[6]
15	Brendan J. Frey	[36]
16	Dan Geiger	[5] [11] [14] [26] [35] [40]
17	Clark Glymour	[6]
18	G. Gordon	[6]
19	Dimitrios Gunopulos	[34]
20	B. H. Hanusa	[6]
21	David Haussler	[35]
22	David Heckerman	[5] [7] [8] [9] [10] [12] [13] [15] [18] [22] [24] [25] [27] [28] [30] [32] [33] [35] [36]
23	Serkan Hosten	[39]
24	Janine E. Janosky	[6]
25	Nebojsa Jojic	[35] [36]
26	Vladimir Jojic	[35] [36]
27	Carl Myers Kadie	[12] [13] [25]
28	Uffe Kjærulff	[31]
29	Daniel Lowd	[37] [38]
30	Heikki Mannila	[16]
31	Donald Metzler	[43]
32	Tom M. Mitchell	[6]
33	Thomas Richardson	[1] [6]
34	Robert Rounthwaite	[12] [13] [21]
35	Adam C. Siepel	[35]
36	Padhraic Smyth	[15] [28]
37	Peter Spirtes	[1] [4] [6]
38	Bernd Sturmfels	[26]
39	Bo Thiesson	[10] [18] [22] [24] [33]
40	Zografoula Vagena	[34]
41	Michail Vlachos	[34] [41]
42	Ydo Wexler	[40]
43	Steven White	[15] [28]
44	Wen-tau Yih	[44]
45	Philip S. Yu	[41]
46	Andrew Zimdars	[20]

Colors in the list of coauthors