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TNN
2010
121views Management» more  TNN 2010»
13 years 2 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
CG
2000
Springer
14 years 9 days ago
Chess Neighborhoods, Function Combination, and Reinforcement Learning
Abstract. Over the years, various research projects have attempted to develop a chess program that learns to play well given little prior knowledge beyond the rules of the game. Ea...
Robert Levinson, Ryan Weber
SPLC
2007
13 years 9 months ago
Scalability of Decision Models for Dynamic Product Lines
Product lines need decision models that guide the derivation of product variants satisfying specific requirements. In dynamic product lines, whose requirements vary during runtime...
Gunnar Brataas, Svein O. Hallsteinsen, Romain Rouv...
PR
2010
184views more  PR 2010»
13 years 6 months ago
Total variation, adaptive total variation and nonconvex smoothly clipped absolute deviation penalty for denoising blocky images
The total variation-based image denoising model has been generalized and extended in numerous ways, improving its performance in different contexts. We propose a new penalty func...
Aditya Chopra, Heng Lian
CIMCA
2005
IEEE
14 years 1 months ago
Hybrid Neural Networks for Immunoinformatics
Hybrid set of optimally trained feed-forward, Hopfield and Elman neural networks were used as computational tools and were applied to immunoinformatics. These neural networks ena...
Khrizel B. Solano, Tolja Djekovic, Mohamed Zohdy