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CORR
2006
Springer
109views Education» more  CORR 2006»
14 years 11 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
CORR
2006
Springer
178views Education» more  CORR 2006»
14 years 11 months ago
A tool set for the quick and efficient exploration of large document collections
: We are presenting a set of multilingual text analysis tools that can help analysts in any field to explore large document collections quickly in order to determine whether the do...
Camelia Ignat, Bruno Pouliquen, Ralf Steinberger, ...
CORR
2006
Springer
153views Education» more  CORR 2006»
14 years 11 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
CORR
2006
Springer
99views Education» more  CORR 2006»
14 years 11 months ago
Rational stochastic languages
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
François Denis, Yann Esposito
DAM
2006
59views more  DAM 2006»
14 years 11 months ago
Optimal strategies for equal-sum dice games
In this paper we consider a non-cooperative two-person zero-sum matrix game, called dice game. In an (n, ) dice game, two players can independently choose a dice from a collection...
Bart De Schuymer, Hans De Meyer, Bernard De Baets