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EVOW
2009
Springer
14 years 3 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
DATE
2008
IEEE
113views Hardware» more  DATE 2008»
14 years 3 months ago
Random Stimulus Generation using Entropy and XOR Constraints
Despite the growing research effort in formal verification, constraint-based random simulation remains an integral part of design validation, especially for large design componen...
Stephen Plaza, Igor L. Markov, Valeria Bertacco
CORR
2010
Springer
66views Education» more  CORR 2010»
13 years 9 months ago
On Extractors and Exposure-Resilient Functions for Sublogarithmic Entropy
We study deterministic extractors for bit-fixing sources (a.k.a. resilient functions) and exposure-resilient functions for small min-entropy. That is, of the n bits given as input...
Yakir Reshef, Salil P. Vadhan
ICML
2007
IEEE
14 years 9 months ago
Online kernel PCA with entropic matrix updates
A number of updates for density matrices have been developed recently that are motivated by relative entropy minimization problems. The updates involve a softmin calculation based...
Dima Kuzmin, Manfred K. Warmuth
ENC
2003
IEEE
14 years 2 months ago
Metrics for Symbol Clustering from a Pseudoergodic Information Source
We discuss a set of metrics, which aims to facilitate the formation of symbol groups from a pseudoergodic information source. An optimal codification can then be applied on the sy...
Angel Fernando Kuri Morales, Oscar Herrera-Alcanta...