Clark Glymour

2008
18	EE	Robert E. Tillman, David Danks, Clark Glymour: Integrating Locally Learned Causal Structures with Overlapping Variables. NIPS 2008: 1665-1672
2006
17	EE	Ricardo 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
16	EE	Frederick 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)
12	EE	Jonathan 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
11	EE	David Danks, Clark Glymour: Linearity Properties of Bayes Nets with Binary Variables. UAI 2001: 98-104
1998
10	EE	Clark 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
5	EE	Clark 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

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

Colors in the list of coauthors