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Clark Glymour Vis

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*2008
18EERobert E. Tillman, David Danks, Clark Glymour: Integrating Locally Learned Causal Structures with Overlapping Variables. NIPS 2008: 1665-1672
2006
17EERicardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning the Structure of Linear Latent Variable Models. Journal of Machine Learning Research 7: 191-246 (2006)
2005
16EEFrederick Eberhardt, Clark Glymour, Richard Scheines: On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables. UAI 2005: 178-184
2003
15 Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning Measurement Models for Unobserved Variables. UAI 2003: 543-550
14 Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes: A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays. Bioinformatics 19(9): 1147-1152 (2003)
2002
13 Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirtes, Clark Glymour: Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. Data Min. Knowl. Discov. 6(3): 277-293 (2002)
12EEJonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, Joseph Ramsey, Clark Glymour: Classification and filtering of spectra: A case study in mineralogy. Intell. Data Anal. 6(6): 517-530 (2002)
2001
11EEDavid Danks, Clark Glymour: Linearity Properties of Bayes Nets with Binary Variables. UAI 2001: 98-104
1998
10EEClark Glymour: Psychological and Normative Theories of Causal Power and the Probabilities of Causes. UAI 1998: 166-172
9 Clark Glymour, Kenneth M. Ford, Patrick J. Hayes: Ramón Lull and the Infidels. AI Magazine 19(2): 136 (1998)
1997
8 Kenneth M. Ford, Clark Glymour, Patrick J. Hayes: On the Other Hand - Cognitive Prostheses. AI Magazine 18(3): 104 (1997)
7 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)
6 Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Themes and Lessons for Data Mining. Data Min. Knowl. Discov. 1(1): 11-28 (1997)
1996
5EEClark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Inference and Data Mining. Commun. ACM 39(11): 35-41 (1996)
1995
4 Clark Glymour: Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program. KDD 1995: 130-135
1994
3 Marek J. Druzdze, Clark Glymour: Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges. KDD Workshop 1994: 419-430
1985
2 Clark Glymour: Independence Assumptions and Bayesian Updating. Artif. Intell. 25(1): 95-99 (1985)
1984
1 Clark Glymour, Richmond H. Thomason: Default Reasoning and the Logic of Theory Perturbation. NMR 1984: 93-102

Coauthor Index

1Constantin F. Aliferis [7]
2R. Ambrosino [7]
3John M. Aronis [7]
4Bruce G. Buchanan [7]
5Rich Caruana [7]
6Tianjiao Chu [14]
7Gregory F. Cooper [7]
8David Danks [11] [18]
9Marek J. Druzdze [3]
10Frederick Eberhardt [16]
11Michael J. Fine [7]
12Kenneth M. Ford [8] [9]
13Paul Gazis [13]
14G. Gordon [7]
15B. H. Hanusa [7]
16Patrick J. Hayes [8] [9]
17Janine E. Janosky [7]
18David Madigan [5] [6]
19Christopher Meek [7]
20Tom M. Mitchell [7]
21Jonathan Moody [12]
22Daryl Pregibon [5] [6]
23Joseph Ramsey [12] [13]
24Thomas Richardson [7]
25Ted Roush [13]
26Richard Scheines [14] [15] [16] [17]
27Ricardo Silva [17]
28Ricardo Bezerra de Andrade e Silva [12] [15]
29Padhraic Smyth [5] [6]
30Peter Spirtes [7] [13] [14] [15] [17]
31Richmond H. Thomason [1]
32Robert E. Tillman [18]
33Joseph Vanderwaart [12]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)