1989 search results - page 108 / 398 » Learning to Select Useful Landmarks |
168
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
155
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IJCNN
2006
IEEE
16 years 10 days ago
2006
IEEE
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...
177
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ROBOCUP
2007
Springer
16 years 13 days ago
2007
Springer
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
173
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BIBM
2009
IEEE
16 years 1 months ago
2009
IEEE
A major challenge in microarray classification and biomarker discovery is dealing with small-sample high-dimensional data where the number of genes used as features is typically o...
180
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CIARP
2009
Springer
15 years 10 months ago
2009
Springer
Authorship verification is the task of determining whether documents were or were not written by a certain author. The problem has been faced by using binary classifiers, one per a...