Supervised and Unsupervised Ensemble Methods and their Applications: 126 (Studies in Computational Intelligence, 126) - Image 1

£50.59

Springer Supervised and Unsupervised Ensemble Methods and their Applications: 126 (Studies in Computational Intelligence, 126)

Name: Supervised and Unsupervised Ensemble Methods and their Applications: 126 (Studies in Computational Intelligence, 126)
Brand: Springer
Price: 57.06 GBP
Availability: InStock

AI & Machine Learning

Price History & Forecast

Last 20 days • 20 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 20 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £57 (18 days, 90.0%)

Price range: £51 - £57

Price levels: 2 different prices over 20 days

Description

Product Description 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.- 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.- Erratum. From the Back Cover This book was inspired by the last argument and resulted from the workshop on Supervised and Unsupervised Ensemble Methods and their Applications (briefly, SUEMA) organized on June 4, 2007 in Girona, Spain. This workshop was held in conjunction with the 3rd Iberian Conference on Pattern Recognition and Image Analysis and was intended to encompass the progress in the ensemble applications made by the Iberian and international scholars. Despite its small format, SUEMA attracted researchers from Spain, Portugal, France, USA, Italy, and Finland, who presented interesting ideas about using the ensembles in various practical cases. Encouraged by this enthusiastic reply, we decided to publish workshop papers in an edited book, since CD proceedings were the only media distributed among the workshop participants at that time. The book includes nine chapters divided into two parts, assembling contributions to the applications of supervised and unsupervised ensembles. The book is intended to be primarily a reference work. It could be a good complement to two excellent books on ensemble methodology – “Combining pattern classifiers: methods and algorithms” by Ludmila Kuncheva (John Wiley & Sons, 2004) and “Decomposition methodology for knowledge discovery and data mining: theory and applications” by Oded Maimon and Lior Rokach (World Scientific, 2005).

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3540789804
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 18 April 2008
Listed Since: 12 March 2008

Barcode

No barcode data available

Springer Supervised and Unsupervised Ensemble Methods and their Applications: 126 (Studies in Computational Intelligence, 126)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Ensembles in Machine Learning Applications: 373 (Studies in Computational Intelligence, 373)

Ensembles in Machine Learning Applications: 373 (Studies in Computational Intelligence, 373)

Mixture Models and Applications (Unsupervised and Semi-Supervised Learning)

Fusion Methods for Unsupervised Learning Ensembles: 322 (Studies in Computational Intelligence, 322)

An Introduction to Approaches and Modern Applications with Ensemble Learning (Computer Science, Technology and Applications)

Sampling Techniques for Supervised or Unsupervised Tasks (Unsupervised and Semi-Supervised Learning)

Springer Advances in Self-Organizing Maps and Machine Learning

Statistical Learning of Complex Data (Studies in Classification, Data Analysis, and Knowledge Organization)

Pattern Recognition

Unsupervised Learning: A Dynamic Approach (IEEE Press Series on Computational Intelligence)

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems: Proceedings of ICAEES 2014, Volume 2: 325 (Advances in Intelligent Systems and Computing, 325)

Machine Learning Methods

Machine Learning and Big Data: Concepts, Algorithms, Tools and Applications

The Puzzle of Granular Computing: 138 (Studies in Computational Intelligence, 138)

Springer Time Series Analysis and Forecasting ITISE 2017 Book

Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

John Wiley & Sons Data Mining and Machine Learning Applications

Supervised and Unsupervised Learning for Data Science

Machine Learning in Complex Networks

Computer and Information Science: 131 (Studies in Computational Intelligence, 131)

Advances in Data Clustering: Theory and Applications

Springer Statistical Learning and Modeling in Data Analysis Book

Learning from Imbalanced Data Sets

Non-Additive Measures: Theory and Applications: 310 (Studies in Fuzziness and Soft Computing, 310)