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Mostrando ítems 21-30 de 126
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 of this article lies on the optimization process of voting regardless of the distance of every ...
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) by means of a real parameter q, named q-Gaussian RBFNN. The architecture, weights and node topology ...
Capítulo de Libro
Analysis of Feature Rankings for Classification
(2005)
Different ways of contrast generated rankings by feature selection algorithms are presented in this paper, showing several possible interpretations, depending on the given approach to each study. We begin from the premise ...
Capítulo de Libro
NDT-Driver: A Java Tool to Support QVT Transformations for NDT
(Springer, 2013)
Capítulo de Libro
Quantitative Association Rules Applied to Climatological Time Series Forecasting
(2009)
This work presents the discovering of association rules based on evolutionary techniques in order to obtain relationships among correlated time series. For this purpose, a genetic algorithm has been proposed to determine ...
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 it is possible to find a good value of the parmeter k for each example according to their attribute ...
Capítulo de Libro
A Comparative Study between Two Regression Methods on LiDAR Data: A Case Study
(Springer, 2011)
Airborne LiDAR (Light Detection and Ranging) has become an excellent tool for accurately assessing vegetation characteristics in forest environments. Previous studies showed empirical relationships between LiDAR and ...
Capítulo de Libro
Clustering Main Concepts from e-Mails
(2003)
E–mail is one of the most common ways to communicate, assuming, in some cases, up to 75% of a company’s communication, in which every employee spends about 90 minutes a day in e–mail tasks such as filing and deleting. This ...
Capítulo de Libro
Mining Low Dimensionality Data Streams of Continuous Attributes
(2003)
This paper presents an incremental and scalable learning algorithm in order to mine numeric, low dimensionality, high–cardinality, time–changing data streams. Within the Supervised Learning field, our approach, named ...
Capítulo de Libro
Time-Series Prediction: Application to the Short-Term Electric Energy Demand
(2003)
This paper describes a time-series prediction method based on the kNN technique. The proposed methodology is applied to the 24-hour load forecasting problem. Also, based on recorded data, an alternative model is developed ...