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Clark Glymour
2010 – today
- 2013
[i4]David Danks, Clark Glymour: Linearity Properties of Bayes Nets with Binary Variables. CoRR abs/1301.2263 (2013)- [i3]Clark Glymour: Psychological and Normative Theories of Causal Power and the Probabilities of Causes. CoRR abs/1301.7377 (2013)
- 2012
- [j17]Clark Glymour: On the Possibility of Inference to the Best Explanation. J. Philosophical Logic 41(2): 461-469 (2012)
- [i2]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. CoRR abs/1207.1389 (2012)
- [i1]Ricardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning Measurement Models for Unobserved Variables. CoRR abs/1212.2516 (2012)
- 2011
- [j16]Joseph Ramsey, Peter Spirtes, Clark Glymour: On meta-analyses of imaging data and the mixture of records. NeuroImage 57(2): 323-330 (2011)
- [j15]Joseph Ramsey, Stephen José Hanson, Clark Glymour: Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. NeuroImage 58(3): 838-848 (2011)
- 2010
- [j14]Carlos Perez, Eman El-Sheikh, Clark Glymour: Discovering effective connectivity among brain regions from functional MRI data. IJCIH 1(1): 86-102 (2010)
- [j13]Joseph D. Ramsey, Stephen José Hanson, Catherine Hanson, Yaroslav O. Halchenko, Russell A. Poldrack, Clark Glymour: Six problems for causal inference from fMRI. NeuroImage 49(2): 1545-1558 (2010)
- [j12]Clark Glymour, David Danks, Bruce Glymour, Frederick Eberhardt, Joseph Ramsey, Richard Scheines, Peter Spirtes, Choh Man Teng, Jiji Zhang: Actual causation: a stone soup essay. Synthese 175(2): 169-192 (2010)
- [c9]Eman El-Sheikh, Carlos Perez, Clark Glymour: Using Causal Modeling for Determining Connectivity among Brain Regions. IC-AI 2010: 653-659
2000 – 2009
- 2008
- [j11]Tianjiao Chu, Clark Glymour: Search for Additive Nonlinear Time Series Causal Models. Journal of Machine Learning Research 9: 967-991 (2008)
- [c8]Robert E. Tillman, David Danks, Clark Glymour: Integrating Locally Learned Causal Structures with Overlapping Variables. NIPS 2008: 1665-1672
- 2007
- [p1]
- 2006
- [j10]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
- [c7]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
- [j9]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)
- [c6]Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes: Learning Measurement Models for Unobserved Variables. UAI 2003: 543-550
- 2002
- [j8]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)
- [j7]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
- [c5]David Danks, Clark Glymour: Linearity Properties of Bayes Nets with Binary Variables. UAI 2001: 98-104
1990 – 1999
- 1998
- [j6]Clark Glymour, Kenneth M. Ford, Patrick J. Hayes: Ramón Lull and the Infidels. AI Magazine 19(2): 136 (1998)
- [c4]Clark Glymour: Psychological and Normative Theories of Causal Power and the Probabilities of Causes. UAI 1998: 166-172
- 1997
- [j5]Kenneth M. Ford, Clark Glymour, Patrick J. Hayes: On the Other Hand - Cognitive Prostheses. AI Magazine 18(3): 104 (1997)
- [j4]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 S. Richardson, Peter Spirtes: An evaluation of machine-learning methods for predicting pneumonia mortality. Artificial Intelligence in Medicine 9(2): 107-138 (1997)
- [j3]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
- [j2]Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Inference and Data Mining. Commun. ACM 39(11): 35-41 (1996)
- 1995
- [c3]Clark Glymour: Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program. KDD 1995: 130-135
- 1994
- [c2]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
1980 – 1989
- 1985
- [j1]
- 1984
- [c1]Clark Glymour, Richmond H. Thomason: Default Reasoning and the Logic of Theory Perturbation. NMR 1984: 93-102
Coauthor Index
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last updated on 2013-02-02 19:50 CET by the dblp team