PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Supervised and Unsupervised Ensemble Methods and their Applications
Oleg Okun and Giorgio Valentini, ed. (2008) Studies in Computational Intelligence , Volume 126 . Springer . ISBN 978-3-540-78980-2

Abstract

Table of contents Part I Ensembles of Clustering Methods and Their Applications.- Cluster Ensemble Methods: from Single Clusterings to Combined Solutions.- Random Subspace Ensembles for Clustering Categorical Data.- Ensemble Clustering with a Fuzzy Approach.- Collaborative Multi-Strategical Clustering for Object-Oriented Image Analysis.- Part II Ensembles of Classification Methods and Their Applications Intrusion Detection in Computer Systems Using Multiple Classifier Systems.- Ensembles of Nearest Neighbors for Gene Expression Based Cancer Classification.- Multivariate Time Series Classification via Stacking of Univariate Classifiers.- Gradient Boosting GARCH and Neural Networks for Time Series Prediction.- Cascading with VDM and Binary Decision Trees for Nominal Data.

EPrint Type:Book
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
ID Code:4312
Deposited By:Giorgio Valentini
Deposited On:13 March 2009