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Mostrando ítems 71-80 de 86
Artículo
Natural Encoding for Evolutionary Supervised Learning
(IEEE, 2007)
Some of the most influential factors in the quality of the solutions found by an evolutionary algorithm (EA) are a correct coding of the search space and an appropriate evaluation function of the potential solutions. ...
Artículo
Connecting Segments for Visual Data Exploration and Interactive Mining of Decision Rules
(Graz University of Technology, Institut für Informationssysteme und Computer Medien, 2005)
Visualization has become an essential support throughout the KDD process in order to extract hidden information from huge amount of data. Visual data exploration techniques provide the user with graphic views or metaphors ...
Artículo
An evolutionary voting for k-nearest neighbours
(Elsevier, 2016)
This work presents an evolutionary approach to modify the voting system of the k-nearest neighbours (kNN) rule we called EvoNN. Our approach results in a real-valued vector which provides the optimal relative con-tribution ...
Artículo
Improving a multi-objective evolutionary algorithm to discover quantitative association rules
(Springer, 2015)
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association rules, specifically those based on the wellknown non-dominated sorting genetic algorithm-II (NSGA-II). ...
Artículo
¿Cómo transformar información en ahorro para el consumidor doméstico? El caso del contador eléctrico inteligente en España
(Publicaciones Dyna, 2018)
El cliente doméstico era el gran olvidado del sistema eléctrico. A pesar de su peso en el consumo total, hasta hace pocos años su poder de intervenir en el mercado era extremadamente limitado. La aparición de las nuevas ...
Artículo
Data streams classification using deep learning under different speeds and drifts
(Oxford University Press, 2022)
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, ...
Artículo
An Evolutionary and Local Search Algorithm for Motion Planning of Two Manipulators
(Wiley, 2001)
A method for obtaining coordinated motion plans of robot manipulators is presented. A decoupled planning approach has been used; that is, the problem has been decomposed into two subproblems: path planning, where a ...
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 ...
Artículo
An evolutionary-weighted majority voting and support vector machines applied to contextual classification of LiDAR and imagery data fusion
(Elsevier, 2015)
Data classification is a critical step to convert remotely sensed data into thematic information. Environmental researchers have recently maximized the synergy between passive sensors and LiDAR (Light Detection and Ranging) ...
Artículo
Search and Linguistic Description of Connected Regions In Quantitative Data
(International Federation of Automatic Control, 1997-05)
The aim of this paper is to resume a great volume of quantitative knowledge in a qualitative model formed by linguistic rules. The initial information will be formed by the numeric and quantitative data that a real system ...