2566 search results - page 127 / 514 » Relating reinforcement learning performance to classificatio... |
165
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ROBOCUP
2000
Springer
15 years 7 months ago
2000
Springer
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
175
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CIKM
2008
Springer
15 years 6 months ago
2008
Springer
For a given query raised by a specific user, the Query Suggestion technique aims to recommend relevant queries which potentially suit the information needs of that user. Due to th...
129
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CASCON
2001
15 years 5 months ago
2001
The main problems in text classification are lack of labeled data, as well as the cost of labeling the unlabeled data. We address these problems by exploring co-training - an algo...
124
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
A logistic regression classification algorithm is developed for problems in which the feature vectors may be missing data (features). Single or multiple imputation for the missing...
145
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COLT
1998
Springer
15 years 8 months ago
1998
Springer
We introduce and analyze a new algorithm for linear classification which combines Rosenblatt's perceptron algorithm with Helmbold and Warmuth's leave-one-out method. Like...