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MICAI
2007
Springer
15 years 5 months ago
Weighted Instance-Based Learning Using Representative Intervals
Instance-based learning algorithms are widely used due to their capacity to approximate complex target functions; however, the performance of this kind of algorithms degrades signi...
Octavio Gómez, Eduardo F. Morales, Jes&uacu...
APGV
2004
ACM
176views Visualization» more  APGV 2004»
15 years 5 months ago
Towards perceptually realistic talking heads: models, methods and McGurk
Motivated by the need for an informative, unbiased and quantitative perceptual method for the development and evaluation of a talking head we are developing, we propose a new test...
Darren Cosker, Susan Paddock, A. David Marshall, P...
93
Voted
GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 3 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
GECCO
2007
Springer
150views Optimization» more  GECCO 2007»
15 years 5 months 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
88
Voted
ICMI
2009
Springer
129views Biometrics» more  ICMI 2009»
15 years 4 months ago
Cache-based language model adaptation using visual attention for ASR in meeting scenarios
In a typical group meeting involving discussion and collaboration, people look at one another, at shared information resources such as presentation material, and also at nothing i...
Neil Cooke, Martin J. Russell