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» Extremal Problems of Information Combining
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AAAI
2000
15 years 7 months ago
Asynchronous Search with Aggregations
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...
Marius-Calin Silaghi, Djamila Sam-Haroud, Boi Falt...
LISA
2000
15 years 7 months ago
Peep (The Network Auralizer): Monitoring Your Network with Sound
Activities in complex networks are often both too important to ignore and too tedious to watch. We created a network monitoring system, Peep, that replaces visual monitoring with ...
Michael Gilfix, Alva L. Couch
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
15 years 7 months ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
169
Voted
MM
2010
ACM
192views Multimedia» more  MM 2010»
15 years 6 months ago
iLike: integrating visual and textual features for vertical search
Content-based image search on the Internet is a challenging problem, mostly due to the semantic gap between low-level visual features and high-level content, as well as the excess...
Yuxin Chen, Nenghai Yu, Bo Luo, Xue-wen Chen
AR
2007
105views more  AR 2007»
15 years 6 months ago
Reinforcement learning of a continuous motor sequence with hidden states
—Reinforcement learning is the scheme for unsupervised learning in which robots are expected to acquire behavior skills through self-explorations based on reward signals. There a...
Hiroaki Arie, Tetsuya Ogata, Jun Tani, Shigeki Sug...