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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 4 days ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
CIKM
2008
Springer
13 years 10 months ago
A system for finding biological entities that satisfy certain conditions from texts
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
Wei Zhou, Clement T. Yu, Weiyi Meng
IS
2008
13 years 8 months ago
Continuous subspace clustering in streaming time series
Performing data mining tasks in streaming data is considered a challenging research direction, due to the continuous data evolution. In this work, we focus on the problem of clust...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
TASLP
2002
99views more  TASLP 2002»
13 years 8 months ago
A system for spoken query information retrieval on mobile devices
Abstract--With the proliferation of handheld devices, information access on mobile devices is a topic of growing relevance. This paper presents a system that allows the user to sea...
E. Chang, Frank Seide, Helen M. Meng, Zhuoran Chen...
TKDE
2010
224views more  TKDE 2010»
13 years 6 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela