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» Exploiting domain knowledge to improve norm synthesis
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IJCAI
2001
13 years 7 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
ENDM
2000
174views more  ENDM 2000»
13 years 5 months ago
Hybrid Constraints in Automated Model Synthesis and Model Processing
Both parametric design tasks and analysis tasks of technical systems have a similar problem setting: The structure of the system to be configured or analyzed is defined already. W...
Klaus-Ulrich Leweling, Benno Stein
UAIS
2008
104views more  UAIS 2008»
13 years 5 months ago
A knowledge-based sign synthesis architecture
This paper presents the modules that comprise a knowledge-based sign synthesis architecture for Greek sign language (GSL). Such systems combine natural language (NL) knowledge, mac...
Stavroula-Evita Fotinea, Eleni Efthimiou, George C...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
13 years 12 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
EON
2007
13 years 7 months ago
Characterizing Knowledge on the Semantic Web with Watson
Abstract. Watson is a gateway to the Semantic Web: it collects, analyzes and gives access to ontologies and semantic data available online with the objective of supporting their dy...
Mathieu d'Aquin, Claudio Baldassarre, Laurian Grid...