2075 search results - page 168 / 415 » Learning better transliterations |
203
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ICML
2001
IEEE
16 years 7 months ago
2001
IEEE
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
165
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
Machine learning typically involves discovering regularities in a training set, then applying these learned regularities to classify objects in a test set. In this paper we presen...
168
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
188
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ICML
2009
IEEE
16 years 1 months ago
2009
IEEE
The most commonly used learning algorithm for restricted Boltzmann machines is contrastive divergence which starts a Markov chain at a data point and runs the chain for only a few...
161
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IPPS
2008
IEEE
16 years 1 months ago
2008
IEEE
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...