Listar Capítulos (Lenguajes y Sistemas Informáticos) por título
Mostrando ítems 49-68 de 126
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Capítulo de Libro
Efficient Incremental-Ranked Feature Selection in Massive Data
(Chapman and Hall/CRC, 2007) -
Capítulo de Libro
Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance k Nearest Neighbours
(2002)In today’s deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected ...
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Capítulo de Libro
Empirical Evaluation of the Difficulty of Finding a Good Value of k for the Nearest Neighbor
(2003)As an analysis of the classification accuracy bound for the Nearest Neighbor technique, in this work we have studied if ...
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Capítulo de Libro
Estimación y toma de decisiones mediante algoritmos evolutivos
(Netlibros S.L., 2007)En este capítulo se presenta un nuevo método para la aplicación de herramientas de Minería de Datos sobre la etapa de ...
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Capítulo de Libro
Estimación y toma de decisiones mediante Minería de Datos
(Netlibros S.L., 2007)En este capítulo se describen diversas técnicas de Minería de Datos que muestran la utilidad de las mismas para la extracción ...
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Capítulo de Libro
Estimación y toma de decisiones mediante técnicas tradicionales y lógica borrosa
(Netlibros S.L., 2007)En este capítulo se presentan algunas contribuciones en el campo de la toma de decisiones en Proyectos de Desarrollo de ...
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Capítulo de Libro
Evaluating Testing Techniques in Highly-Configurable Systems: The Drupal Dataset
(Auerbach Publications, 2021)Context: Software applications exposing a high ability to be extended, changed or configured are usually referred to as ...
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Capítulo de Libro
Evolutionary q-Gaussian Radial Basis Functions for Improving Prediction Accuracy of Gene Classification Using Feature Selection
(2010)This paper proposes a Radial Basis Function Neural Network (RBFNN) which reproduces different Radial Basis Functions (RBFs) ...
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Capítulo de Libro
Evolutionary segmentation of yeast genome
(2004)Segmentation algorithms differ from clustering algorithms with regard to how to deal with the physical location of genes ...
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Capítulo de Libro
FaMa
(Springer, 2013) -
Capítulo de Libro
FaMa
(Springer, 2013-01)Extracting relevant information from variability models is an important task to support decision-making in product line development and product configuration.
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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 ...
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Capítulo de Libro
Fast Feature Selection by Means of Projections
(2003)The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant ...
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Capítulo de Libro
Heuristic Search over a Ranking for Feature Selection
(2005)In this work, we suggest a new feature selection technique that lets us use the wrapper approach for finding a well suited ...
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Ponencia
Improving NDT with Automatic Test Case Generation
(Springer, 2013)The model-driven development defi nes the software development process as a set of iterations to create models and a set ...
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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 ...
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Capítulo de Libro
Improving the k-Nearest Neighbour Rule by an Evolutionary Voting Approach
(Springer, 2014)This work presents an evolutionary approach to modify the voting system of the k-Nearest Neighbours (kNN). The main novelty ...
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Capítulo de Libro
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
(2009)This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes ...
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Capítulo de Libro
Incremental rule learning based on example nearness from numerical data streams
(2005)Mining data streams is a challenging task that requires online systems based on incremental learning approaches. This paper ...