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ICML
2010
IEEE
13 years 9 months ago
Boosting for Regression Transfer
The goal of transfer learning is to improve the learning of a new target concept given knowledge of related source concept(s). We introduce the first boosting-based algorithms for...
David Pardoe, Peter Stone
SLP
1997
102views more  SLP 1997»
13 years 9 months ago
Compositionality of Normal Open Logic Programs
Compositionality of programsis an important concern in knowledge representation and software development. In the context of Logic Programming, up till now, the issue has mostly be...
Sofie Verbaeten, Marc Denecker, Danny De Schreye
BMCBI
2007
171views more  BMCBI 2007»
13 years 8 months ago
An open source infrastructure for managing knowledge and finding potential collaborators in a domain-specific subset of PubMed,
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Wei Yu, Ajay Yesupriya, Anja Wulf, Junfeng Qu, Mui...
GECCO
2004
Springer
14 years 1 months ago
Introducing Subchromosome Representations to the Linkage Learning Genetic Algorithm
This paper introduces subchromosome representations to the linkage learning genetic algorithm (LLGA). The subchromosome representation is utilized for effectively lowering the num...
Ying-Ping Chen, David E. Goldberg
INFORMATICALT
2010
138views more  INFORMATICALT 2010»
13 years 5 months ago
Recognition of Human Emotions in Reasoning Algorithms of Wheelchair Type Robots
This paper analyses the possibilities of integrating different technological and knowledge representation techniques for the development of a framework for the remote control of mu...
Dale Dzemydiene, Antanas Andrius Bielskis, Arunas ...