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IEICET
2007
114views more  IEICET 2007»
15 years 5 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
NIPS
2003
15 years 6 months ago
Distributed Optimization in Adaptive Networks
We develop a protocol for optimizing dynamic behavior of a network of simple electronic components, such as a sensor network, an ad hoc network of mobile devices, or a network of ...
Ciamac Cyrus Moallemi, Benjamin Van Roy
CEC
2009
IEEE
16 years 8 days ago
Dynamic optimization using Self-Adaptive Differential Evolution
Abstract— In this paper we investigate a Self-Adaptive Differential Evolution algorithm (jDE) where F and CR control parameters are self-adapted and a multi-population method wit...
Janez Brest, Ales Zamuda, Borko Boskovic, Mirjam S...
IWANN
2001
Springer
15 years 10 months ago
Learning Adaptive Parameters with Restricted Genetic Optimization Method
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
Santiago Garrido, Luis Moreno
ICMCS
2006
IEEE
144views Multimedia» more  ICMCS 2006»
15 years 11 months ago
Optimal Requantization-Based Rate Adaptation for H.264
Bit rate adaptation is one of the most important types of video transcoding. With H.264 becoming the predominant video codec of choice in video coding and streaming, prudent ratea...
Bo Shen