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GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
14 years 2 months ago
A leader-based parallel cross entropy algorithm for MCP
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
Zhanhua Bai, Qiang Lv
GECCO
2005
Springer
14 years 1 months ago
Evaluating GP schema in context
We propose a new methodology to look at the fitness contributions (semantics) of different schemata in Genetic Programming (GP). We hypothesize that the significance of a schem...
Hammad Majeed, Conor Ryan, R. Muhammad Atif Azad
ENC
2004
IEEE
13 years 11 months ago
Continuous Mode Changes in Mechatronic Systems
This paper deals with the problem of controlling highly dynamic mechatronic systems. Such systems may work in several different operation modes, or even underlie continuous mode c...
Klaus Ecker, Andrei Tchernykh, Frank Drews, Silke ...
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
13 years 6 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
AAAI
2012
11 years 10 months ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous