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Mostrando ítems 61-70 de 70
Capítulo de Libro
Learning Decision Rules by Means of Hybrid-Encoded Evolutionary Algorithms
(Springer, 2005)
This paper describes an approach based on evolutionary algorithms, HIDER ( erarchical cision ules), for learning rules in continuous and discrete domains. The algorithm produces a hierarchical set of rules, that is, the ...
Artículo
Incremental wrapper-based gene selection from microarray data for cancer classification
(Elsevier, 2006)
Gene expression microarray is a rapidly maturing technology that provides the opportunity to assay the expression levels of thousands or tens of thousands of genes in a single experiment. We present a new heuristic to ...
Ponencia
Natural Evolutionary Coding: An Application to Estimating Software Development Projects
(International society for genetic and evolutionary computation (ISGEC), 2002)
Software Project Simulator and Evolutionary Computation are combined to generate decision rules. The purpose is to provide accurate decision rules in order to help the project manager to take decisions at any time in the ...
Artículo
Evolutionary Learning of Hierarchical Decision Rules
(IEEE, 2003)
This paper describes an approach based on evolutionary algorithms, hierarchical decision rules (HIDER), for learning rules in continuous and discrete domains. The algorithm produces a hierarchical set of rules, that is, ...
Artículo
Supervised learning by means of accuracy-aware evolutionary algorithms
(Elsevier, 2003)
This paper describes a new approach, HIerarchical DEcision Rules (HIDER), for learning generalizable rules in continuous and discrete domains based on evolutionary algorithms. The main contributions of our approach are ...
Ponencia
Aprendizaje Incremental de Reglas en Data Streams
(Thomson-Paraninfo, 2005)
En este artículo presentamos FACIL, un algoritmo de aprendizaje incremental dirigido a la clasificación de data streams numéricos. Mediante un esquema de ventana múltiple y una política de generalización moderada, nuestra ...
Informe
Ponencia
Databases Reduction
(SciTePress, 2004)
Progress in digital data acquisition and storage technology has resulted in the growth of huge databases. Nevertheless, these techniques often have high computational cost. Then, it is advisable to apply a preprocessing ...
Artículo
Finding representative patterns withordered projections
(Elsevier, 2003)
This paper presents a new approach to 2nding representative patterns for dataset editing. The algorithm patterns by ordered projections (POP), has some interesting characteristics: important reduction of the number of ...
Artículo
Improved biclustering on expression data through overlapping control
(Emerald, 2009)
Purpose – The purpose of this paper is to present a novel control mechanism for avoiding overlapping among biclusters in expression data. Design/methodology/approach – Biclustering is a technique used in analysis of ...