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» Network Structuring and Training Using Rule-Based Knowledge
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HPDC
2006
IEEE
15 years 3 months ago
Peer to peer size estimation in large and dynamic networks: A comparative study
As the size of distributed systems keeps growing, the peer to peer communication paradigm has been identified as the key to scalability. Peer to peer overlay networks are charact...
Erwan Le Merrer, Anne-Marie Kermarrec, Laurent Mas...
HT
2005
ACM
15 years 3 months ago
What is the space for?: the role of space in authoring hypertext representations
This paper describes our approach of using spatial hypertext as a means separated from an end representation for hypertext authoring. By taking advantage of the power of rich inte...
Yasuhiro Yamamoto, Kumiyo Nakakoji, Yoshiyuki Nish...
AIIDE
2006
14 years 11 months ago
Incorporating Advice into Neuroevolution of Adaptive Agents
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
CG
2000
Springer
15 years 2 months ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
WWW
2008
ACM
15 years 10 months ago
Automatically refining the wikipedia infobox ontology
The combined efforts of human volunteers have recently extracted numerous facts from Wikipedia, storing them as machine-harvestable object-attribute-value triples in Wikipedia inf...
Fei Wu, Daniel S. Weld