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127
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GECCO
2007
Springer
162views Optimization» more  GECCO 2007»
15 years 9 months ago
Learning noise
In this paper we propose a genetic programming approach to learning stochastic models with unsymmetrical noise distributions. Most learning algorithms try to learn from noisy data...
Michael D. Schmidt, Hod Lipson
126
Voted
GECCO
2007
Springer
156views Optimization» more  GECCO 2007»
15 years 9 months ago
Nonlinearity linkage detection for financial time series analysis
Standard detection algorithms for nonlinearity linkage fail when applied to typical problems in the analysis of financial time-series data. We explain how this failure arises whe...
Theodore Chiotis, Christopher D. Clack
138
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ROBOCUP
2005
Springer
91views Robotics» more  ROBOCUP 2005»
15 years 9 months ago
Gaze Direction Determination of Opponents and Teammates in Robot Soccer
Gaze direction determination of opponents and teammates is a very important ability for any soccer player, human or robot. However, this ability is still not developed in any of th...
Patricio Loncomilla, Javier Ruiz-del-Solar
133
Voted
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 8 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn
111
Voted
ACSAC
2004
IEEE
15 years 7 months ago
Reasoning About Complementary Intrusion Evidence
This paper presents techniques to integrate and reason about complementary intrusion evidence such as alerts generated by intrusion detection systems (IDSs) and reports by system ...
Yan Zhai, Peng Ning, Purush Iyer, Douglas S. Reeve...