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Carl Myers Kadie
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2010 – 2019
- 2014
- [j9]Christoph Lippert, Jing Xiang, Danilo Horta, Christian Widmer, Carl Myers Kadie, David Heckerman, Jennifer Listgarten:
Greater power and computational efficiency for kernel-based association testing of sets of genetic variants. Bioinform. 30(22): 3206-3214 (2014) - 2013
- [j8]Jennifer Listgarten, Christoph Lippert, Eun Yong Kang, Jing Xiang, Carl Myers Kadie, David Heckerman:
A powerful and efficient set test for genetic markers that handles confounders. Bioinform. 29(12): 1526-1533 (2013) - [i5]Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs:
Coordinates: Probabilistic Forecasting of Presence and Availability. CoRR abs/1301.0573 (2013) - [i4]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence. CoRR abs/1301.0575 (2013) - [i3]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) - [i2]John S. Breese, David Heckerman, Carl Myers Kadie:
Empirical Analysis of Predictive Algorithms for Collaborative Filtering. CoRR abs/1301.7363 (2013) - [i1]Carl Myers Kadie:
Rational Nonmonotonic Reasoning. CoRR abs/1304.2361 (2013) - 2011
- [c11]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
2000 – 2009
- 2008
- [j7]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 Comput. Biol. 4(2) (2008) - [j6]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 Comput. Biol. 4(11) (2008) - 2007
- [j5]David Heckerman, Carl Myers Kadie, Jennifer Listgarten:
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. J. Comput. Biol. 14(6): 736-746 (2007) - [j4]Jennifer Listgarten, Nicole Frahm, Carl Myers Kadie, Christian Brander, David Heckerman:
A Statistical Framework for Modeling HLA-Dependent T Cell Response Data. PLoS Comput. Biol. 3(10) (2007) - 2006
- [c10]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 - [c9]David Heckerman, Carl Myers Kadie, Jennifer Listgarten:
Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB 2006: 296-308 - 2003
- [j3]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) - 2002
- [c8]Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs:
Coordinates: Probabilistic Forecasting of Presence and Availability. UAI 2002: 224-233 - [c7]Carl Myers Kadie, Christopher Meek, David Heckerman:
CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250 - 2000
- [j2]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. J. Mach. Learn. Res. 1: 49-75 (2000) - [c6]David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie:
Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
1990 – 1999
- 1998
- [c5]John S. Breese, David Heckerman, Carl Myers Kadie:
Empirical Analysis of Predictive Algorithms for Collaborative Filtering. UAI 1998: 43-52 - [d1]Jack S. Breese, David Heckerman, Carl Myers Kadie:
Anonymous Microsoft Web Data. UCI Machine Learning Repository, 1998 - 1993
- [j1]Carl Myers Kadie:
Robot-Building Lab and Contest at the 1993 National AI Conference. AI Mag. 14(4): 73-77 (1993) - 1991
- [c4]Carl Myers Kadie:
Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning. ML 1991: 153-157 - [c3]Carl Myers Kadie:
Continous Conceptual Set Covering: Learning Robot Operators From Examples. ML 1991: 615-619 - 1990
- [c2]Carl Myers Kadie:
Conceptual Set Covering: Improving Fit-And-Split Algorithms. ML 1990: 40-48
1980 – 1989
- 1988
- [c1]Carl Myers Kadie:
Diffy-S: Learning Robot Operator Schemata from Examples. ML 1988: 430-436
Coauthor Index
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