Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures - Lecture Notes in Artificial Intelligence - J Winkler - Libros - Springer-Verlag Berlin and Heidelberg Gm - 9783540290735 - 11 de octubre de 2005
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Deterministic and Statistical Methods in Machine Learning: First International Workshop, Sheffield, UK, September 7-10, 2004. Revised Lectures - Lecture Notes in Artificial Intelligence 2005 edition

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Constitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. This title addresses various issues in the field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling.


Marc Notes: Sheffield Machine Learning Workshop--Pref.; Includes bibliographical references and index.; Also available in print.; Electronic reproduction.; UK: MyiLibrary; 2008. Table of Contents: Object Recognition via Local Patch Labelling.- Multi Channel Sequence Processing.- Bayesian Kernel Learning Methods for Parametric Accelerated Life Survival Analysis.- Extensions of the Informative Vector Machine.- Efficient Communication by Breathing.- Guiding Local Regression Using Visualisation.- Transformations of Gaussian Process Priors.- Kernel Based Learning Methods: Regularization Networks and RBF Networks.- Redundant Bit Vectors for Quickly Searching High-Dimensional Regions.- Bayesian Independent Component Analysis with Prior Constraints: An Application in Biosignal Analysis.- Ensemble Algorithms for Feature Selection.- Can Gaussian Process Regression Be Made Robust Against Model Mismatch?.- Understanding Gaussian Process Regression Using the Equivalent Kernel.- Integrating Binding Site Predictions Using Non-linear Classification Methods.- Support Vector Machine to Synthesise Kernels.- Appropriate Kernel Functions for Support Vector Machine Learning with Sequences of Symbolic Data.- Variational Bayes Estimation of Mixing Coefficients.- A Comparison of Condition Numbers for the Full Rank Least Squares Problem.- SVM Based Learning System for Information Extraction. Publisher Marketing: Constitutes the refereed proceedings of the First International Workshop on Machine Learning held in Sheffield, UK, in September 2004. This title addresses various issues in the field of machine learning that aims to provide practical methods for data discovery, categorisation and modelling.

Medios de comunicación Libros     Paperback Book   (Libro con tapa blanda y lomo encolado)
Publicado 11 de octubre de 2005
ISBN13 9783540290735
Editores Springer-Verlag Berlin and Heidelberg Gm
Páginas 341
Dimensiones 155 × 235 × 19 mm   ·   498 g
Lengua Alemán  
Editor Lawrence, Neil
Editor Niranjan, Mahesan
Editor Winkler, Joab

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