548 search results - page 87 / 110 » A New Way to Introduce Knowledge into Reinforcement Learning |
141
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AAAI
2004
15 years 3 months ago
2004
A standard intuition underlying traditional accounts of belief change is the principle of minimal change. In this paper we introduce a novel account of belief change in which the ...
BMCBI
2008
15 years 2 months ago
2008
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
111
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ECCV
2002
Springer
16 years 3 months ago
2002
Springer
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
INFORMATICASI
1998
15 years 1 months ago
1998
Decision table decomposition is a machine learning approach that decomposes a given decision table into an equivalent hierarchy of decision tables. The approach aims to discover d...
110
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CORR
2011
Springer
14 years 5 months ago
2011
Springer
Boosting is a popular way to derive powerful learners from simpler hypothesis classes. Following previous work (Mason et al., 1999; Friedman, 2000) on general boosting frameworks,...