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IDEAL
2000
Springer
14 years 12 days ago
Combining Ordinal Financial Predictions with Genetic Programming
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Edward P. K. Tsang, Jin Li
GECCO
2005
Springer
110views Optimization» more  GECCO 2005»
14 years 2 months ago
Towards identifying populations that increase the likelihood of success in genetic programming
This paper presents a comprehensive, multivariate account of how initial population material is used over the course of a genetic programming run as while various factors influenc...
Jason M. Daida
IDEAL
2004
Springer
14 years 2 months ago
User Adaptive Answers Generation for Conversational Agent Using Genetic Programming
Recently, it seems to be interested in the conversational agent as an effective and familiar information provider. Most of conversational agents reply to user’s queries based on ...
Kyoung Min Kim, Sungsoo Lim, Sung-Bae Cho
PPSN
2000
Springer
14 years 11 days ago
Genetic Programming Bloat without Semantics
To investigate the fundamental causes of bloat, six artificial random binary tree search spaces are presented. Fitness is given by program syntax (the genetic programming genotype)...
William B. Langdon, Wolfgang Banzhaf
GECCO
2005
Springer
132views Optimization» more  GECCO 2005»
14 years 2 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, ...