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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 2 months ago
Symbolic regression in multicollinearity problems
In this paper the potential of GP-generated symbolic regression for alleviating multicollinearity problems in multiple regression is presented with a case study in an industrial s...
Flor A. Castillo, Carlos M. Villa
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
14 years 1 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
CCCG
2006
13 years 10 months ago
An Optimal Solution to Room Search Problem
A room is a simple polygon with a prespecified point, called the door, on its boundary. A search starts at the door and must detect any intruder that may be in the room, while maki...
Binay K. Bhattacharya, John Z. Zhang, Qiaosheng Sh...
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 3 months ago
Inducing a generative expressive performance model using a sequential-covering genetic algorithm
In this paper, we describe an evolutionary approach to inducing a generative model of expressive music performance for Jazz saxophone. We begin with a collection of audio recordin...
Rafael Ramirez, Amaury Hazan
ICIAR
2009
Springer
14 years 1 months ago
Abnormal Behavior Recognition Using Self-Adaptive Hidden Markov Models
A self-adaptive Hidden Markov Model (SA-HMM) based framework is proposed for behavior recognition in this paper. In this model, if an unknown sequence cannot be classified into an...
Jun Yin, Yan Meng