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IWANN
2011
Springer
14 years 4 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 5 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
EUSFLAT
2001
183views Fuzzy Logic» more  EUSFLAT 2001»
15 years 2 months ago
On fuzzy rule-based algorithms for image segmentation using gray-level histogram analysis
One of the biggest problems in computer vision systems, analyzing images having high uncertainty/vagueness degree, is the treatment of such uncertainty. This problem is even clear...
Eduard Montseny, Pilar Sobrevilla
AMAI
2004
Springer
15 years 7 months ago
Deductive Algorithmic Knowledge
The framework of algorithmic knowledge assumes that agents use algorithms to compute the facts they explicitly know. In many cases of interest, a logical theory, rather than a par...
Riccardo Pucella
ECCV
2004
Springer
16 years 3 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard