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Carl Myers Kadie :
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Carl Myers Kadie Diffy-S: Learning Robot Operator Schemata from Examples. [Citation Graph (0, 0)][DBLP ] ML, 1988, pp:430-436 [Conf ] Carl Myers Kadie Conceptual Set Covering: Improving Fit-And-Split Algorithms. [Citation Graph (0, 0)][DBLP ] ML, 1990, pp:40-48 [Conf ] Carl Myers Kadie Quantifying the Value of Constructive Induction, Knowledge, and Noise Filtering on Inductive Learning. [Citation Graph (0, 0)][DBLP ] ML, 1991, pp:153-157 [Conf ] Carl Myers Kadie Continous Conceptual Set Covering: Learning Robot Operators From Examples. [Citation Graph (0, 0)][DBLP ] ML, 1991, pp:615-619 [Conf ] Nebojsa Jojic , Manuel Reyes-Gomez , David Heckerman , Carl Myers Kadie , Ora Schueler-Furman Learning MHC I - peptide binding. [Citation Graph (0, 0)][DBLP ] ISMB (Supplement of Bioinformatics), 2006, pp:227-235 [Conf ] David Heckerman , Carl Myers Kadie , Jennifer Listgarten Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction. [Citation Graph (0, 0)][DBLP ] RECOMB, 2006, pp:296-308 [Conf ] John S. Breese , David Heckerman , Carl Myers Kadie Empirical Analysis of Predictive Algorithms for Collaborative Filtering. [Citation Graph (0, 0)][DBLP ] UAI, 1998, pp:43-52 [Conf ] David Heckerman , David Maxwell Chickering , Christopher Meek , Robert Rounthwaite , Carl Myers Kadie Dependency Networks for Collaborative Filtering and Data Visualization. [Citation Graph (0, 0)][DBLP ] UAI, 2000, pp:264-273 [Conf ] Eric Horvitz , Paul Koch , Carl Myers Kadie , Andy Jacobs Coordinates: Probabilistic Forecasting of Presence and Availability. [Citation Graph (0, 0)][DBLP ] UAI, 2002, pp:224-233 [Conf ] Carl Myers Kadie , Christopher Meek , David Heckerman CFW: A Collaborative Filtering System Using Posteriors over Weights of Evidence. [Citation Graph (0, 0)][DBLP ] UAI, 2002, pp:242-250 [Conf ] Carl Myers Kadie Robot-Building Lab and Contest at the 1993 National AI Conference. [Citation Graph (0, 0)][DBLP ] AI Magazine, 1993, v:14, n:4, pp:73-77 [Journal ] Eric Horvitz , Carl Myers Kadie , Tim Paek , David Hovel Models of attention in computing and communication: from principles to applications. [Citation Graph (0, 0)][DBLP ] Commun. ACM, 2003, v:46, n:3, pp:52-59 [Journal ] David Heckerman , David Maxwell Chickering , Christopher Meek , Robert Rounthwaite , Carl Myers Kadie Dependency Networks for Inference, Collaborative Filtering, and Data Visualization. [Citation Graph (0, 0)][DBLP ] Journal of Machine Learning Research, 2000, v:1, n:, pp:49-75 [Journal ] Search in 0.001secs, Finished in 0.002secs