Search the dblp DataBase

Publications of Author

1. Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth
   Statistical Themes and Lessons for Data Mining. [Citation Graph (2, 0)][DBLP]
   Data Min. Knowl. Discov., 1997, v:1, n:1, pp:11-28 [Journal]
   
2. Marek J. Druzdze, Clark Glymour
   Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges. [Citation Graph (0, 0)][DBLP]
   KDD Workshop, 1994, pp:419-430 [Conf]
   
3. Clark Glymour
   Available Technology for Discovering Causal Models, Building Bayes Nets, and Selecting Predictors: The TETRAD II Program. [Citation Graph (0, 0)][DBLP]
   KDD, 1995, pp:130-135 [Conf]
   
4. Clark Glymour, Richmond H. Thomason
   Default Reasoning and the Logic of Theory Perturbation. [Citation Graph (0, 0)][DBLP]
   NMR, 1984, pp:93-102 [Conf]
   
5. David Danks, Clark Glymour
   Linearity Properties of Bayes Nets with Binary Variables. [Citation Graph (0, 0)][DBLP]
   UAI, 2001, pp:98-104 [Conf]
   
6. Clark Glymour
   Psychological and Normative Theories of Causal Power and the Probabilities of Causes. [Citation Graph (0, 0)][DBLP]
   UAI, 1998, pp:166-172 [Conf]
   
7. Ricardo Bezerra de Andrade e Silva, Richard Scheines, Clark Glymour, Peter Spirtes
   Learning Measurement Models for Unobserved Variables. [Citation Graph (0, 0)][DBLP]
   UAI, 2003, pp:543-550 [Conf]
   
8. Clark Glymour
   Independence Assumptions and Bayesian Updating. [Citation Graph (0, 0)][DBLP]
   Artif. Intell., 1985, v:25, n:1, pp:95-99 [Journal]
   
9. Kenneth M. Ford, Clark Glymour, Patrick J. Hayes
   On the Other Hand - Cognitive Prostheses. [Citation Graph (0, 0)][DBLP]
   AI Magazine, 1997, v:18, n:3, pp:104- [Journal]
   
10. Clark Glymour, Kenneth M. Ford, Patrick J. Hayes
    Ramón Lull and the Infidels. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 1998, v:19, n:2, pp:136- [Journal]
    
11. 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. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 1997, v:9, n:2, pp:107-138 [Journal]
    
12. Tianjiao Chu, Clark Glymour, Richard Scheines, Peter Spirtes
    A Statistical Problem for Inference to Regulatory Structure from Associations of Gene Expression Measurements with Microarrays. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:9, pp:1147-1152 [Journal]
    
13. Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth
    Statistical Inference and Data Mining. [Citation Graph (0, 1)][DBLP]
    Commun. ACM, 1996, v:39, n:11, pp:35-41 [Journal]
    
14. Joseph Ramsey, Paul Gazis, Ted Roush, Peter Spirtes, Clark Glymour
    Automated Remote Sensing with Near Infrared Reflectance Spectra: Carbonate Recognition. [Citation Graph (0, 0)][DBLP]
    Data Min. Knowl. Discov., 2002, v:6, n:3, pp:277-293 [Journal]
    
15. Jonathan Moody, Ricardo Bezerra de Andrade e Silva, Joseph Vanderwaart, Joseph Ramsey, Clark Glymour
    Classification and filtering of spectra: A case study in mineralogy. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2002, v:6, n:6, pp:517-530 [Journal]
    
16. Ricardo Silva, Richard Scheines, Clark Glymour, Peter Spirtes
    Learning the Structure of Linear Latent Variable Models. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2006, v:7, n:, pp:191-246 [Journal]
    
17. 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. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:178-184 [Conf]
    
18. 
    Integrating Locally Learned Causal Structures with Overlapping Variables. [Citation Graph (, )][DBLP]