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GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 3 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»
14 years 11 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»
14 years 9 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 3 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 2 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...