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120
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ICML
2009
IEEE
16 years 1 months ago
SimpleNPKL: simple non-parametric kernel learning
Previous studies of Non-Parametric Kernel (NPK) learning usually reduce to solving some Semi-Definite Programming (SDP) problem by a standard SDP solver. However, time complexity ...
Jinfeng Zhuang, Ivor W. Tsang, Steven C. H. Hoi
93
Voted
GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 6 months ago
Fuzzy-UCS: preliminary results
This paper presents Fuzzy-UCS, a Michigan-style Learning Fuzzy-Classifier System designed for supervised learning tasks. Fuzzy-UCS combines the generalization capabilities of UCS...
Albert Orriols-Puig, Jorge Casillas, Ester Bernad&...
EUROPAR
2003
Springer
15 years 5 months ago
Obtaining Hardware Performance Metrics for the BlueGene/L Supercomputer
Hardware performance monitoring is the basis of modern performance analysis tools for application optimization. We are interested in providing such performance analysis tools for t...
Pedro Mindlin, José R. Brunheroto, Luiz De ...
105
Voted
ECML
2006
Springer
15 years 4 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
93
Voted
CEC
2003
IEEE
15 years 5 months ago
Learning DFA: evolution versus evidence driven state merging
Learning Deterministic Finite Automata (DFA) is a hard task that has been much studied within machine learning and evolutionary computation research. This paper presents a new met...
Simon M. Lucas, T. Jeff Reynolds