Carl Myers Kadie

Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs: Coordinates: Probabilistic Forecasting of Presence and Availability. CoRR abs/1301.0573 (2013)

Carl Myers Kadie, Christopher Meek, David Heckerman: CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence. CoRR abs/1301.0575 (2013)

David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. CoRR abs/1301.3862 (2013)

John S. Breese, David Heckerman, Carl Myers Kadie: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. CoRR abs/1301.7363 (2013)

Carl Myers Kadie: Rational Nonmonotonic Reasoning. CoRR abs/1304.2361 (2013)

Jennifer Listgarten, Carl Myers Kadie, Eric E. Schadt, David Heckerman: Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract). UAI 2011: 852

Jennifer Listgarten, Zabrina L. Brumme, Carl Myers Kadie, Gao Xiaojiang, Bruce D. Walker, Mary Carrington, Philip J. R. Goulder, David Heckerman: Statistical Resolution of Ambiguous HLA Typing Data. PLoS Computational Biology 4(2) (2008)

Jonathan M. Carlson, Zabrina L. Brumme, Christine M. Rousseau, Chanson J. Brumme, Philippa Matthews, Carl Myers Kadie, James I. Mullins, Bruce D. Walker, P. Richard Harrigan, Philip J. R. Goulder, David Heckerman: Phylogenetic Dependency Networks: Inferring Patterns of CTL Escape and Codon Covariation in HIV-1 Gag. PLoS Computational Biology 4(11) (2008)

David Heckerman, Carl Myers Kadie, Jennifer Listgarten: Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. Journal of Computational Biology 14(6): 736-746 (2007)

Jennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman: A Statistical Framework for Modeling HLA-Dependent T Cell Response Data. PLoS Computational Biology 3(10) (2007)

Nebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman: Learning MHC I - peptide binding. ISMB (Supplement of Bioinformatics) 2006: 227-235

David Heckerman, Carl Myers Kadie, Jennifer Listgarten: Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB 2006: 296-308

Eric Horvitz, Carl Myers Kadie, Tim Paek, David Hovel: Models of attention in computing and communication: from principles to applications. Commun. ACM 46(3): 52-59 (2003)

Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs: Coordinates: Probabilistic Forecasting of Presence and Availability. UAI 2002: 224-233

Carl Myers Kadie, Christopher Meek, David Heckerman: CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250

David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. Journal of Machine Learning Research 1: 49-75 (2000)

David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273

John S. Breese, David Heckerman, Carl Myers Kadie: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. UAI 1998: 43-52

Carl Myers Kadie: Robot-Building Lab and Contest at the 1993 National AI Conference. AI Magazine 14(4): 73-77 (1993)

Carl Myers Kadie: Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning. ML 1991: 153-157

Carl Myers Kadie: Continous Conceptual Set Covering: Learning Robot Operators From Examples. ML 1991: 615-619

Carl Myers Kadie: Conceptual Set Covering: Improving Fit-And-Split Algorithms. ML 1990: 40-48

Carl Myers Kadie: Diffy-S: Learning Robot Operator Schemata from Examples. ML 1988: 430-436