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Capítulo de Libro
Improving the Accuracy of a Two-Stage Algorithm in Evolutionary Product Unit Neural Networks for Classification by Means of Feature Selection
(Springer, 2011)
This paper introduces a methodology that improves the accuracy of a two-stage algorithm in evolutionary product unit neural networks for classification tasks by means of feature selection. A couple of filters have been ...
Artículo
Coordinated motion planning of manipulators by evolution strategies
(WIT Press, 1995)
A method for obtaining coordinated motion plans of manipulator robots is presented. This planning can be easily implemented by programs written in any industrial robot programming language, such as VAL II. The generated ...
Capítulo de Libro
Visualization techniques of management rules for software development projects
(2003)
The application of data mining techniques to the managing of software development projects (SDP) is not an uncommon phenomenon, as in any other productive process that generates information in the way of input data and ...
Capítulo de Libro
Fast Feature Ranking Algorithm
(2003)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. The algorithm has ...
Capítulo de Libro
Natural Coding: A More Efficient Representation for Evolutionary Learning
(2003)
To select an adequate coding is one of the main problems in applications based on Evolutionary Algorithms. Many codings have been proposed to represent the search space for obtaining decision rules. A suitable representation ...
Capítulo de Libro
Data Mining Approaches to Diffuse Large B–Cell Lymphoma Gene Expression Data Interpretation
(2004)
This paper presents a comprehensive study of gene expression patterns originating from a diffuse large B–cell lymphoma (DLBCL) database. It focuses on the implementation of feature selection and classification techniques. ...
Capítulo de Libro
SOAP: Efficient Feature Selection of Numeric Attributes
(2002)
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simpler and easy to understand. Depending on the ...
Capítulo de Libro
Data Cleansing Meets Feature Selection: A Supervised Machine Learning Approach
(Springer, 2015)
This paper presents a novel procedure to apply in a sequential way two data preparation techniques from a different nature such as data cleansing and feature selection. For the former we have experienced with a partial ...
Capítulo de Libro
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
(2007)
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, clustering is applied in this work to extract ...
Capítulo de Libro
OBLIC: Classification System Using Evolutionary Algorithm
(2001)
We present a new classification system based on Evolutionary Algorithm (EA), OBLIC. This tool is an OBLIque Classification system whose function is to induce a set of classification rules no hierarchical from a database ...