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ICMLA
2009
15 years 4 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
LOGCOM
2008
133views more  LOGCOM 2008»
15 years 6 months ago
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
We describe a two-layer architecture for supporting semantic interpretation and domain reasoning in dialogue systems. Building systems that support both semantic interpretation an...
Myroslava Dzikovska, James F. Allen, Mary D. Swift
SAC
2005
ACM
15 years 12 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...
CONTEXT
1999
Springer
15 years 10 months ago
Dynamics and Automaticity of Context: A Cognitive Modeling Approach
AI and psychological approaches to context are contrasted and the dynamic and automatic nature of the continuous context change in human cognition is emphasized. A dynamic theory o...
Boicho N. Kokinov
JWSR
2006
114views more  JWSR 2006»
15 years 6 months ago
Metadata, Ontologies, and Information Models for Grid PSE Toolkits Based on Web Services
: A PSE toolkit is a group of technologies within a software architecture through which multiple PSEs can be built for different application domains. The effective use of a PSE too...
Carmela Comito, Carlo Mastroianni, Domenico Talia