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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 9 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
SPIESR
1996
122views Database» more  SPIESR 1996»
15 years 5 months ago
Retrieval by Content in Symbolic-Image Databases
Two approaches for integrating images into the framework of a database management system are presented. The classi cation approach preprocesses all images and attaches a semantic ...
Aya Soffer, Hanan Samet
PRL
2006
139views more  PRL 2006»
15 years 3 months ago
Adaptive Hausdorff distances and dynamic clustering of symbolic interval data
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
ISSAC
2007
Springer
111views Mathematics» more  ISSAC 2007»
15 years 10 months ago
Numerical optimization in hybrid symbolic-numeric computation
Approximate symbolic computation problems can be formulated as constrained or unconstrained optimization problems, for example: GCD [3, 8, 12, 13, 23], factorization [5, 10], and ...
Lihong Zhi
PRIB
2009
Springer
15 years 8 months ago
Syntactic Pattern Recognition Using Finite Inductive Strings
A syntactic pattern recognition technique is described based upon a mathematical principle associated with finite sequences of symbols. The technique allows for fast recognition of...
Paul S. Fisher, Howard Fisher, Jinsuk Baek, Cleopa...