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» LEO - DB2's LEarning Optimizer
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159
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ECCV
2010
Springer
15 years 6 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
118
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AAAI
2006
15 years 5 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
GECCO
2005
Springer
15 years 9 months ago
XCS with computed prediction in multistep environments
XCSF extends the typical concept of learning classifier sys
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
JMLR
2012
13 years 6 months ago
Consistency and Rates for Clustering with DBSCAN
We propose a simple and efficient modification of the popular DBSCAN clustering algorithm. This modification is able to detect the most interesting vertical threshold level in a...
Bharath K. Sriperumbudur, Ingo Steinwart
ICML
2003
IEEE
16 years 5 months ago
AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Oppon
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
Vincent Conitzer, Tuomas Sandholm