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GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
14 years 11 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
ACL
1997
14 years 11 months ago
Contrastive Accent in a Data-to-Speech System
Being able to predict the placement of contrastive accent is essential for the assignment of correct accentuation patterns in spoken language generation. I discuss two approaches ...
Mariët Theune
IJCAI
2003
14 years 11 months ago
Learning Minesweeper with Multirelational Learning
Minesweeper is a one-person game which looks deceptively easy to play, but where average human performance is far from optimal. Playing the game requires logical, arithmetic and p...
Lourdes Peña Castillo, Stefan Wrobel
EUSFLAT
2001
119views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Optimization of evolutionary strategies to achieve knowledge in faded temporal fuzzy logic controllers
In this document we cany out a comparative analysis of the reasoning strategies implemented in Fuzzy Logic Controllers (hereinafter FLCs) and Faded Temporal Fuzzy Logic Controller...
Manuel A. Gadeo Martos, Juan R. Velasco Pér...
SAC
2005
ACM
15 years 3 months ago
Stochastic scheduling of active support vector learning algorithms
Active learning is a generic approach to accelerate training of classifiers in order to achieve a higher accuracy with a small number of training examples. In the past, simple ac...
Gaurav Pandey, Himanshu Gupta, Pabitra Mitra