Carl Myers Kadie

	2011
18		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
	2008
17		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)
16		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)
	2007
15		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)
14		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)
	2006
13		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
12		David Heckerman, Carl Myers Kadie, Jennifer Listgarten: Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. RECOMB 2006: 296-308
	2003
11		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
10		Eric Horvitz, Paul Koch, Carl Myers Kadie, Andy Jacobs: Coordinates: Probabilistic Forecasting of Presence and Availability. UAI 2002: 224-233
9		Carl Myers Kadie, Christopher Meek, David Heckerman: CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. UAI 2002: 242-250
	2000
8		David Heckerman, David Maxwell Chickering, Christopher Meek, Robert Rounthwaite, Carl Myers Kadie: Dependency Networks for Collaborative Filtering and Data Visualization. UAI 2000: 264-273
7		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)
	1998
6		John S. Breese, David Heckerman, Carl Myers Kadie: Empirical Analysis of Predictive Algorithms for Collaborative Filtering. UAI 1998: 43-52
	1993
5		Carl Myers Kadie: Robot-Building Lab and Contest at the 1993 National AI Conference. AI Magazine 14(4): 73-77 (1993)
	1991
4		Carl Myers Kadie: Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning. ML 1991: 153-157
3		Carl Myers Kadie: Continous Conceptual Set Covering: Learning Robot Operators From Examples. ML 1991: 615-619
	1990
2		Carl Myers Kadie: Conceptual Set Covering: Improving Fit-And-Split Algorithms. ML 1990: 40-48
	1988
1		Carl Myers Kadie: Diffy-S: Learning Robot Operator Schemata from Examples. ML 1988: 430-436

Coauthor Index

1	Christian Brander	[14]
2	John S. Breese	[6]
3	Chanson J. Brumme	[17]
4	Zabrina L. Brumme	[16] [17]
5	Jonathan M. Carlson	[17]
6	Mary Carrington	[16]
7	David Maxwell Chickering (Max Chickering)	[7] [8]
8	Nicole Frahm	[14]
9	Philip J. R. Goulder	[16] [17]
10	P. Richard Harrigan	[17]
11	David Heckerman	[6] [7] [8] [9] [12] [13] [14] [15] [16] [17] [18]
12	Eric Horvitz	[10] [11]
13	David Hovel	[11]
14	Andy Jacobs	[10]
15	Nebojsa Jojic	[13]
16	Paul Koch	[10]
17	Jennifer Listgarten	[12] [14] [15] [16] [18]
18	Philippa Matthews	[17]
19	Christopher Meek	[7] [8] [9]
20	James I. Mullins	[17]
21	Tim Paek	[11]
22	Manuel Reyes-Gomez	[13]
23	Robert Rounthwaite	[7] [8]
24	Christine M. Rousseau	[17]
25	Eric E. Schadt	[18]
26	Ora Schueler-Furman	[13]
27	Bruce D. Walker	[16] [17]
28	Gao Xiaojiang	[16]

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