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ECML
2004
Springer
15 years 11 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 11 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
TSMC
2008
229views more  TSMC 2008»
15 years 6 months ago
A Comprehensive Survey of Multiagent Reinforcement Learning
Multiagent systems are rapidly finding applications in a variety of domains, including robotics, distributed control, telecommunications, and economics. The complexity of many task...
Lucian Busoniu, Robert Babuska, Bart De Schutter
HCI
2009
15 years 4 months ago
Adaptive Learning via Social Cognitive Theory and Digital Cultural Ecosystems
This paper will look at the human predisposition to oral tradition and its effectiveness as a learning tool to convey mission-critical information. After exploring the effectivenes...
Joseph Juhnke, Adam R. Kallish
BMCBI
2006
192views more  BMCBI 2006»
15 years 6 months ago
Analysis of circular genome rearrangement by fusions, fissions and block-interchanges
Background: Analysis of genomes evolving via block-interchange events leads to a combinatorial problem of sorting by block-interchanges, which has been studied recently to evaluat...
Chin Lung Lu, Yen-Lin Huang, Tsui Ching Wang, Hsie...