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» Extremal Optimization: Methods derived from Co-Evolution
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GECCO
2004
Springer
151views Optimization» more  GECCO 2004»
14 years 2 months ago
Discovery of Human-Competitive Image Texture Feature Extraction Programs Using Genetic Programming
In this paper we show how genetic programming can be used to discover useful texture feature extraction algorithms. Grey level histograms of different textures are used as inputs ...
Brian T. Lam, Victor Ciesielski
GECCO
2003
Springer
14 years 1 months ago
Structural Emergence with Order Independent Representations
Abstract. This paper compares two grammar based Evolutionary Automatic Programming methods, Grammatical Evolution (GE) and Chorus. Both systems evolve sequences of derivation rules...
R. Muhammad Atif Azad, Conor Ryan
GECCO
2003
Springer
165views Optimization» more  GECCO 2003»
14 years 1 months ago
An Evolutionary Approach for Molecular Docking
We have developed an evolutionary approach for the flexible docking that is now an important component of a rational drug design. This automatic docking tool, referred to as the G...
Jinn-Moon Yang
AAAI
2010
13 years 10 months ago
Multi-Label Learning with Weak Label
Multi-label learning deals with data associated with multiple labels simultaneously. Previous work on multi-label learning assumes that for each instance, the "full" lab...
Yu-Yin Sun, Yin Zhang, Zhi-Hua Zhou
NC
1998
13 years 10 months ago
An Addition to Backpropagation for Computing Functional Roots
Many processes are composed of a n-fold repetition of some simpler process. If the whole process can be modeled with a neural network, we present a method to derive a model of the...
Lars Kindermann