997 search results - page 60 / 200 » Learning Rule Representations from Boolean Data |
154
Voted
GECCO
2011
Springer
14 years 4 months ago
2011
Springer
—A number of representation schemes have been presented for use within Learning Classifier Systems, ranging from binary encodings to Neural Networks, and more recently Dynamical ...
110
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PLDI
2004
ACM
15 years 6 months ago
2004
ACM
In this paper we present Jedd, a language extension to Java that supports a convenient way of programming with Binary Decision Diagrams (BDDs). The Jedd language abstracts BDDs as...
94
Voted
NIPS
2004
15 years 2 months ago
2004
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
119
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IFIP12
2008
15 years 2 months ago
2008
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...