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GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 10 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2004
Springer
106views Optimization» more  GECCO 2004»
14 years 2 months ago
Learning to Acquire Autonomous Behavior: Cooperation by Humanoid Robots
In this paper, we describe a cooperative transportation to a target position with two humanoid robots and introduce a machine learning approach to solving the problem. The difficul...
Yutaka Inoue, Takahiro Tohge, Hitoshi Iba
BMCBI
2006
119views more  BMCBI 2006»
13 years 9 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
MCS
2010
Springer
14 years 1 months ago
Incremental Learning of New Classes in Unbalanced Datasets: Learn + + .UDNC
We have previously described an incremental learning algorithm, Learn++ .NC, for learning from new datasets that may include new concept classes without accessing previously seen d...
Gregory Ditzler, Michael D. Muhlbaier, Robi Polika...
VL
2008
IEEE
14 years 3 months ago
Mashing up visual languages and web mash-ups
Research on web mashups and visual languages share an interest in human-centered computing. Both research communities are concerned with supporting programming by everyday, techni...
M. Cameron Jones, Elizabeth F. Churchill, Michael ...