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» A Method for Approximation to Ontology Reuse Problem
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IJCAI
2001
13 years 10 months ago
Rule Induction for Concept Hierarchy Alignment
To manage information like ontology, we usually use categorization with concept hierarchy. Such concept hierarchies are managed individual for each system due to the many differen...
Ryutaro Ichise, Hideaki Takeda, Shinichi Honiden
NIPS
1996
13 years 9 months ago
Reinforcement Learning for Dynamic Channel Allocation in Cellular Telephone Systems
In cellular telephone systems, an important problem is to dynamically allocate the communication resource channels so as to maximize service in a stochastic caller environment. Th...
Satinder P. Singh, Dimitri P. Bertsekas
ESWS
2010
Springer
14 years 1 months ago
Leveraging Terminological Structure for Object Reconciliation
Abstract. It has been argued that linked open data is the major benefit of semantic technologies for the web as it provides a huge amount of structured data that can be accessed i...
Jan Noessner, Mathias Niepert, Christian Meilicke,...
NIPS
2001
13 years 10 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
PROLAMAT
1998
13 years 10 months ago
Design Knowledge Collection by Modeling
Since design is a process in which designers use various kinds of knowledge and it is an open-ended problem, it is difficult to prepare all necessary knowledge before design. Also...
Masaharu Yoshioka, T. Sekiya, Tetsuo Tomiyama