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ICGA
1993
96views Optimization» more  ICGA 1993»
15 years 7 months ago
Dynamic Control of Genetic Algorithms in a Noisy Environment
In this paper, we present e cient algorithms for adjusting con guration parameters of genetic algorithms that operate in a noisy environment. Assuming that the population size is ...
Akiko N. Aizawa, Benjamin W. Wah
NAACL
1994
15 years 7 months ago
Use of Lexical and Syntactic Techniques in Recognizing Handwritten Text
The output of handwritten word recognizers (WR) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be initial...
Rohini K. Srihari
NIPS
1996
15 years 7 months ago
Transformation Invariance in Pattern Recognition-Tangent Distance and Tangent Propagation
In pattern recognition, statistical modeling, or regression, the amount of data is a critical factor affecting the performance. If the amount of data and computational resources ar...
Patrice Simard, Yann LeCun, John S. Denker, Bernar...
ECCV
2010
Springer
15 years 7 months ago
Object of Interest Detection by Saliency Learning
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
GECCO
2008
Springer
160views Optimization» more  GECCO 2008»
15 years 7 months ago
An estimation distribution algorithm with the spearman's rank correlation index
This article arguments that rank correlation coefficients are powerful association measures and how can they be adopted by EDAs. A new EDA implements the proposed ideas: the Non-P...
Arturo Hernández Aguirre, Enrique Raú...