Carl Myers Kadie - researchr alias

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Viewing Publication 1 - 20 from 20

2014

Greater power and computational efficiency for kernel-based association testing of sets of genetic variantsChristoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten. bioinformatics, 30(22):3206-3214, 2014. [doi]

2013

A powerful and efficient set test for genetic markers that handles confoundersJennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman. bioinformatics, 29(12):1526-1533, 2013. [doi]

2011

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

2008

2007

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope PredictionDavid Heckerman, Carl Myers Kadie, Jennifer Listgarten. jcb, 14(6):736-746, 2007. [doi]

A Statistical Framework for Modeling HLA-Dependent T Cell Response DataJennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman. ploscb, 3(10), 2007. [doi]

2006

Leveraging Information Across HLA Alleles/Supertypes Improves Epitope PredictionDavid Heckerman, Carl Myers Kadie, Jennifer Listgarten. recomb 2006: 296-308 [doi]

Learning MHC I - peptide bindingNebojsa Jojic, Manuel Reyes-Gomez, David Heckerman, Carl Myers Kadie, Ora Schueler-Furman. ismb 2006: 227-235 [doi]

2003

Models of attention in computing and communication: from principles to applicationsEric Horvitz, Carl Myers Kadie, Tim Paek, David Hovel. CACM, 46(3):52-59, 2003. [doi]

2002

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

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

2000

Dependency Networks for Collaborative Filtering and Data VisualizationDavid Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie. uai 2000: 264-273 [doi]

Dependency Networks for Inference, Collaborative Filtering, and Data VisualizationDavid Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie. jmlr, 1:49-75, 2000. [doi]

1998

Empirical Analysis of Predictive Algorithms for Collaborative FilteringJohn S. Breese, David Heckerman, Carl Myers Kadie. uai 1998: 43-52 [doi]

1993

Robot-Building Lab and Contest at the 1993 National AI ConferenceCarl Myers Kadie. aim, 14(4):73-77, 1993.

1991

Continous Conceptual Set Covering: Learning Robot Operators From ExamplesCarl Myers Kadie. icml 1991: 615-619

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

1990

Conceptual Set Covering: Improving Fit-And-Split AlgorithmsCarl Myers Kadie. icml 1990: 40-48

1988

Diffy-S: Learning Robot Operator Schemata from ExamplesCarl Myers Kadie. icml 1988: 430-436

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