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GECCO
2011
Springer
276views Optimization» more  GECCO 2011»
14 years 1 months ago
Evolution of reward functions for reinforcement learning
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...
Scott Niekum, Lee Spector, Andrew G. Barto
JAIR
2002
101views more  JAIR 2002»
14 years 9 months ago
Structured Knowledge Representation for Image Retrieval
We propose a structured approach to the problem of retrieval of images by content and present a description logic that has been devised for the semantic indexing and retrieval of ...
Eugenio Di Sciascio, Francesco M. Donini, Marina M...
ICCAD
2006
IEEE
141views Hardware» more  ICCAD 2006»
15 years 6 months ago
Algorithms for MIS vector generation and pruning
Ignoring the effect of simultaneous switching for logic gates causes silicon failures for high performance microprocessor designs. The main reason to omit this effect is the run...
Kenneth S. Stevens, Florentin Dartu
SEMWEB
2007
Springer
15 years 3 months ago
Instance Migration in Heterogeneous Ontology Environments
In this paper we address the problem of migrating instances between heterogeneous overlapping ontologies. The instance migration problem arises when one wants to reclassify a set o...
Luciano Serafini, Andrei Tamilin
RULEML
2005
Springer
15 years 3 months ago
Design and Implementation of an ECA Rule Markup Language
an Abstract Syntax and Direct-Model Theoretic Semantics for RuleML . 45 Adrian Giurca and Gerd Wagner A Semantic Web Framework for Interleaving Policy Reasoning and External Servic...
Marco Seiriö, Mikael Berndtsson