1393 search results - page 69 / 279 » Machine Learning by Function Decomposition |
144
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BMCBI
2008
15 years 2 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
110
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ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
134
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ML
2002
ACM
15 years 2 months ago
2002
ACM
We provide an analytical comparison between discounted and average reward temporal-difference (TD) learning with linearly parameterized approximations. We first consider the asympt...
121
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The goal of feature induction is to automatically create nonlinear combinations of existing features as additional input features to improve classification accuracy. Typically, no...
161
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CSB
2005
IEEE
15 years 8 months ago
2005
IEEE
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...