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PE
2006
Springer
145views Optimization» more  PE 2006»
15 years 6 months ago
Closed form solutions for mapping general distributions to quasi-minimal PH distributions
Approximating general distributions by phase-type (PH) distributions is a popular technique in stochastic analysis, since the Markovian property of PH distributions often allows a...
Takayuki Osogami, Mor Harchol-Balter
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 11 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...
MIR
2006
ACM
162views Multimedia» more  MIR 2006»
16 years 7 days ago
Dynamic similarity search in multi-metric spaces
An important research issue in multimedia databases is the retrieval of similar objects. For most applications in multimedia databases, an exact search is not meaningful. Thus, mu...
Benjamin Bustos, Tomás Skopal
CEC
2008
IEEE
16 years 23 days ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
16 years 14 days ago
Credit assignment in adaptive memetic algorithms
Adaptive Memetic Algorithms couple an evolutionary algorithm with a number of local search heuristics for improving the evolving solutions. They are part of a broad family of meta...
J. E. Smith