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» The importance of learning in fuzzy systems
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IROS
2009
IEEE
140views Robotics» more  IROS 2009»
14 years 3 months ago
Transferring embodied concepts between perceptually heterogeneous robots
— This paper explores methods and representations that allow two perceptually heterogeneous robots, each of which represents concepts via grounded properties, to transfer knowled...
Zsolt Kira
PRL
2006
121views more  PRL 2006»
13 years 8 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
DKE
2007
132views more  DKE 2007»
13 years 8 months ago
Automated ontology construction for unstructured text documents
Ontology is playing an increasingly important role in knowledge management and the Semantic Web. This study presents a novel episode-based ontology construction mechanism to extra...
Chang-Shing Lee, Yuan-Fang Kao, Yau-Hwang Kuo, Mei...
GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
14 years 14 days ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
WEBI
2004
Springer
14 years 2 months ago
Adaptation and Personalization in Web-based Learning Support Systems
In order to achieve optimal efficiency in a learning process, individual learner needs his/her own personalized assistance. For a web-based open and dynamic learning environment, ...
Lisa Fan