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GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 1 months ago
A method for parameter calibration and relevance estimation in evolutionary algorithms
We present and evaluate a method for estimating the relevance and calibrating the values of parameters of an evolutionary algorithm. The method provides an information theoretic m...
Volker Nannen, A. E. Eiben
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 1 months ago
Parisian evolution with honeybees for three-dimensional reconstruction
This paper introduces a novel analogy with the way in which honeybee colonies operate in order to solve the problem of sparse and quasi dense reconstruction. To successfully solve...
Gustavo Olague, Cesar Puente
ATAL
2003
Springer
14 years 1 months ago
A configurable mobile agent data protection protocol
This paper addresses the problem of protecting the data carried by mobile agents from the possible attacks of malicious execution hosts. Specifically, we consider protection mecha...
Paolo Maggi, Riccardo Sisto
ISTCS
1997
Springer
14 years 1 months ago
Learning with Queries Corrupted by Classification Noise
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...
Jeffrey C. Jackson, Eli Shamir, Clara Shwartzman
ICML
1994
IEEE
14 years 1 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...