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ICANN
2005
Springer
14 years 1 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
CIA
2007
Springer
14 years 1 months ago
Who Works Together in Agent Coalition Formation?
Coalitions are often required for multi-agent collaboration. In this research, we consider tasks that can only be completed with the combined efforts of multiple agents using appro...
Vicki H. Allan, Kevin Westwood
DATE
2008
IEEE
134views Hardware» more  DATE 2008»
14 years 2 months ago
Adaptive Filesystem Compression for Embedded Systems
Abstract—Embedded system secondary storage size is often constrained, yet storage demands are growing as a result of increasing application complexity and storage of personal dat...
Lan S. Bai, Haris Lekatsas, Robert P. Dick
GECCO
2008
Springer
238views Optimization» more  GECCO 2008»
13 years 8 months ago
Using multiple offspring sampling to guide genetic algorithms to solve permutation problems
The correct choice of an evolutionary algorithm, a genetic representation for the problem being solved (as well as their associated variation operators) and the appropriate values...
Antonio LaTorre, José Manuel Peña, V...
ECCV
2010
Springer
13 years 7 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof