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» Representation and structural biases in CGP
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GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 5 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
NAACL
2003
13 years 6 months ago
Inducing History Representations for Broad Coverage Statistical Parsing
We present a neural network method for inducing representations of parse histories and using these history representations to estimate the probabilities needed by a statistical le...
James Henderson
GPEM
2006
82views more  GPEM 2006»
13 years 4 months ago
Shortcomings with using edge encodings to represent graph structures
There are various representations for encoding graph structures, such as artificial neural networks (ANNs) and circuits, each with its own strengths and weaknesses. Here we analyz...
Gregory Hornby
ACCV
2010
Springer
12 years 12 months ago
Generic Object Class Detection Using Boosted Configurations of Oriented Edges
Abstract. In this paper we introduce a new representation for shapebased object class detection. This representation is based on very sparse and slightly flexible configurations of...
Oscar M. Danielsson, Stefan Carlsson
EPS
1998
Springer
13 years 9 months ago
Variable-Dimensional Optimization with Evolutionary Algorithms Using Fixed-Length Representations
This paper discusses a simple representation of variable-dimensional optimization problems for evolutionary algorithms. Although it was successfully applied to the optimization of ...
Joachim Sprave, Susanne Rolf