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» Learning Techniques for Automatic Algorithm Portfolio Select...
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JIFS
2002
107views more  JIFS 2002»
14 years 11 months ago
Model selection via Genetic Algorithms for RBF networks
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
Estefane G. M. de Lacerda, André Carlos Pon...
89
Voted
CVPR
2005
IEEE
16 years 1 months ago
A Cross-Validatory Statistical Approach to Scale Selection for Image Denoising by Nonlinear Diffusion
Scale-spaces induced by diffusion processes play an important role in many computer vision tasks. Automatically selecting the most appropriate scale for a particular problem is a ...
George Papandreou, Petros Maragos
DAS
2010
Springer
14 years 10 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
108
Voted
MIR
2006
ACM
195views Multimedia» more  MIR 2006»
15 years 5 months ago
Automatically selecting shots for action movie trailers
Movie trailers, or previews, are an important method of advertising movies. They are extensively shown before movies in cinemas, as well as on television and increasingly, over th...
Alan F. Smeaton, Bart Lehane, Noel E. O'Connor, Co...
ECAI
2010
Springer
15 years 23 days ago
Case-Based Multiagent Reinforcement Learning: Cases as Heuristics for Selection of Actions
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Multiagent Reinforcement Learning algorithms, combining Case-Based Reasoning...
Reinaldo A. C. Bianchi, Ramon López de M&aa...