1
Published 2010
Table of Contents: ... Swine Fever -- An Importance Sampling Approach to Integrate Expert Knowledge When Learning Bayesian...
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2
Published 2005
Table of Contents: ... Processing Filters -- Learning Weights in Genetic Programs Using Gradient Descent for Object Recognition...
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3
Published 2005
Table of Contents: ... Beach County -- Bayesian Functional Estimation of Hazard Rates for Randomly Right Censored Data Using...
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4
Published 2007
Table of Contents: ... Forecast Using GRID Middleware -- Multi-robot Cooperation Based on Hierarchical Reinforcement Learning...
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5
Published 2006
Table of Contents: ... rate: a systematic comparison for microarray data -- A unifying model for biclustering -- Image...
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6
Published 2006
Table of Contents: ... Using Probabilistic Hidden Variable Models -- Reinforcement Learning and Apprenticeship Learning...
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7
Published 2005
Table of Contents: ... of Fuzzy Relations -- Efficient Learning of Pseudo-Boolean Functions from Limited Training Data...
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8
Published 2007
Table of Contents: ... Individual Opinions in Group Decision Making -- An Active Learning Method Based on Most Possible...
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9
Published 2014
Table of Contents: ... Networks to Enhance Customer Lifetime Predictions -- A Note on Machine Learning Approach to Analyze...
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10
Published 2012
Table of Contents: ...-convex Optimization on Stiefel Manifold and Applications to Machine Learning -- Local Patch Dissimilarity...
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11
Published 2015
Table of Contents: ... Inference System -- Active Learning using Fuzzy K-NN for Cancer Classification from Microarray Gene...
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12
Published 2010
Table of Contents: ... Oral Training -- A Gene Selection Method for Microarray Data Based on Sampling -- The Similarity...
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