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NIPS
1994
14 years 11 months ago
Finding Structure in Reinforcement Learning
Reinforcement learning addresses the problem of learning to select actions in order to maximize one's performance inunknownenvironments. Toscale reinforcement learning to com...
Sebastian Thrun, Anton Schwartz
95
Voted
INCDM
2010
Springer
138views Data Mining» more  INCDM 2010»
14 years 8 months ago
Learning Discriminative Distance Functions for Case Retrieval and Decision Support
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...
Alexey Tsymbal, Martin Huber, Shaohua Kevin Zhou
ICML
1996
IEEE
15 years 2 months ago
Second Tier for Decision Trees
A learner's performance does not rely only on the representation language and on the algorithm inducing a hypothesis in this language. Also the way the induced hypothesis is ...
Miroslav Kubat
FLAIRS
2006
14 years 11 months ago
Refining Human Behavior Models in a Context-based Architecture
This paper describes an investigation into the refinement of context-based human behavior models through the use of experiential learning. Specifically, a tactical agent was endow...
David Aihe, Avelino J. Gonzalez
ICASSP
2011
IEEE
14 years 1 months ago
Non-linear tagging models with localist and distributed word representations
Distributed representations of words are attractive since they provide a means for measuring word similarity. However, most approaches to learning distributed representations are ...
Sumit Chopra, Srinivas Bangalore