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Clark Glymour :
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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 ] 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 ] 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 ] Clark Glymour , Richmond H. Thomason Default Reasoning and the Logic of Theory Perturbation. [Citation Graph (0, 0)][DBLP ] NMR, 1984, pp:93-102 [Conf ] David Danks , Clark Glymour Linearity Properties of Bayes Nets with Binary Variables. [Citation Graph (0, 0)][DBLP ] UAI, 2001, pp:98-104 [Conf ] 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 ] 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 ] Clark Glymour Independence Assumptions and Bayesian Updating. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 1985, v:25, n:1, pp:95-99 [Journal ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] 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 ] Integrating Locally Learned Causal Structures with Overlapping Variables. [Citation Graph (, )][DBLP ] Search in 0.004secs, Finished in 0.004secs