1474 search results - page 61 / 295 » Using Machine Learning to Focus Iterative Optimization |
118
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JAIR
2010
15 years 1 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
130
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ICDAR
2009
IEEE
15 years 8 days ago
2009
IEEE
Hybrid of Neural Network (NN) and Hidden Markov Model (HMM) has been popular in word recognition, taking advantage of NN discriminative property and HMM representational capabilit...
133
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
We consider learning in a Markov decision process where we are not explicitly given a reward function, but where instead we can observe an expert demonstrating the task that we wa...
124
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ICMLC
2010
Springer
15 years 15 days ago
2010
Springer
: Bagging (Bootstrap Aggregating) has been proved to be a useful, effective and simple ensemble learning methodology. In generic bagging methods, all the classifiers which are trai...
115
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ALT
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...