3718 search results - page 261 / 744 » On learning with dissimilarity functions |
172
Voted
IJON
2006
15 years 6 months ago
2006
In this work, we propose a variation of a direct reinforcement learning algorithm, suitable for usage with spiking neurons based on the spike response model (SRM). The SRM is a bi...
183
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CORR
2007
Springer
15 years 6 months ago
2007
Springer
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
198
Voted
ACMSE
2010
ACM
15 years 1 months ago
2010
ACM
The ranking problem appears in many areas of study such as customer rating, social science, economics, and information retrieval. Ranking can be formulated as a classification pro...
222
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JMLR
2012
13 years 9 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
183
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JMLR
2012
13 years 9 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...