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» A New Way to Introduce Knowledge into Reinforcement Learning
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ESOP
2010
Springer
15 years 3 months ago
A Semantic Framework for Declassification and Endorsement
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
Aslan Askarov, Andrew Myers
NIPS
2008
15 years 1 months ago
Goal-directed decision making in prefrontal cortex: a computational framework
Research in animal learning and behavioral neuroscience has distinguished between two forms of action control: a habit-based form, which relies on stored action values, and a goal...
Matthew Botvinick, James An
CSMR
2004
IEEE
15 years 3 months ago
Supporting Architectural Restructuring by Analyzing Feature Models
In order to lower the risk, reengineering projects aim at high reuse rates. Therefore, tasks like architectural restructuring have to be performed in a way that developed new syst...
Ilian Pashov, Matthias Riebisch, Ilka Philippow
ICTAI
2007
IEEE
15 years 6 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz
IV
1999
IEEE
96views Visualization» more  IV 1999»
15 years 4 months ago
A Semantic-Centric Approach to Information Visualization
A semantic-centric approach to information visualization is described in this paper. In contrast to the conventional document-centric approaches, the semantic-centric approach foc...
Chaomei Chen, Les Carr