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EMMCVPR
2005
Springer
14 years 3 months ago
Learning Hierarchical Shape Models from Examples
Abstract. We present an algorithm for automatically constructing a decompositional shape model from examples. Unlike current approaches to structural model acquisition, in which on...
Alex Levinshtein, Cristian Sminchisescu, Sven J. D...
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 3 months ago
A statistical learning theory approach of bloat
Code bloat, the excessive increase of code size, is an important issue in Genetic Programming (GP). This paper proposes a theoretical analysis of code bloat in the framework of sy...
Sylvain Gelly, Olivier Teytaud, Nicolas Bredeche, ...
GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
14 years 3 months ago
ATNoSFERES revisited
ATNoSFERES is a Pittsburgh style Learning Classifier System (LCS) in which the rules are represented as edges of an Augmented Transition Network. Genotypes are strings of tokens ...
Samuel Landau, Olivier Sigaud, Marc Schoenauer
ICALP
2005
Springer
14 years 3 months ago
Randomized Fast Design of Short DNA Words
We consider the problem of efficiently designing sets (codes) of equal-length DNA strings (words) that satisfy certain combinatorial constraints. This problem has numerous motivati...
Ming-Yang Kao, Manan Sanghi, Robert T. Schweller
SIGIR
2004
ACM
14 years 3 months ago
Usefulness of hyperlink structure for query-biased topic distillation
In this paper, we introduce an information theoretic method for estimating the usefulness of the hyperlink structure induced from the set of retrieved documents. We evaluate the e...
Vassilis Plachouras, Iadh Ounis