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NIPS
1997
15 years 1 months ago
Nonlinear Markov Networks for Continuous Variables
We address the problem of learning structure in nonlinear Markov networks with continuous variables. This can be viewed as non-Gaussian multidimensional density estimation exploit...
Reimar Hofmann, Volker Tresp
WSCG
2000
132views more  WSCG 2000»
15 years 1 months ago
Adaptive Filtering for Progressive Monte Carlo Image Rendering
Image filtering is often applied as a post-process to Monte Carlo generated pictures, in order to reduce noise. In this paper we present an algorithm based on density estimation t...
Frank Suykens, Yves D. Willems
CEC
2010
IEEE
15 years 29 days ago
The jMetal framework for multi-objective optimization: Design and architecture
Abstract-- jMetal is a Java-based framework for multiobjective optimization using metaheuristics. It is an ease-to-use, flexible, and extensible software package that has been used...
Juan José Durillo, Antonio J. Nebro, Enriqu...
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
15 years 29 days ago
A minimized zero mean entropy approach to networked control systems
A novel control method is proposed for networked control systems with nonlinear process, probably non-Gaussian process noise and time delays. The performance index of closed loop c...
Jianhua Zhang, Hong Wang 0001
GRC
2008
IEEE
15 years 28 days ago
Fuzzy Entropy based Max-Relevancy and Min-Redundancy Feature Selection
Feature selection is an important problem for pattern classification systems. Mutual information is a good indicator of relevance between variables, and has been used as a measure...
Shuang An, Qinghua Hu, Daren Yu