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ATAL
2010
Springer
14 years 11 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
SAC
2010
ACM
15 years 3 months ago
A semantic web-based approach for personalizing news
Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge ...
Kim Schouten, Philip Ruijgrok, Jethro Borsje, Flav...
SMC
2010
IEEE
186views Control Systems» more  SMC 2010»
14 years 8 months ago
Semantic enrichment of text representation with wikipedia for text classification
—Text classification is a widely studied topic in the area of machine learning. A number of techniques have been developed to represent and classify text documents. Most of the t...
Hiroki Yamakawa, Jing Peng, Anna Feldman

Book
422views
16 years 9 months ago
Intelligence: The Eye, the Brain and the Computer
"This book is intended to be an intellectual journey into the domain of human and machine intelligence". The book covers several topics such as intelligence, knowledge re...
M. A. Fischler, O. Firschein
WWW
2004
ACM
15 years 10 months ago
A method for modeling uncertainty in semantic web taxonomies
We present a method for representing and reasoning with uncertainty in RDF(S) and OWL ontologies based on Bayesian networks. Categories and Subject Descriptors: I.2.4 Artificial I...
Eero Hyvönen, Markus Holi