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Mostrando ítems 31-35 de 35
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 ...
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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 ...