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Machine Learning for Signal ProcessingData Science, Algorithms, and Computational Statistics$
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Max A. Little

Print publication date: 2019

Print ISBN-13: 9780198714934

Published to Oxford Scholarship Online: October 2019

DOI: 10.1093/oso/9780198714934.001.0001

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Statistical machine learning

Statistical machine learning

(p.149) 6 Statistical machine learning
Machine Learning for Signal Processing

Max A. Little

Oxford University Press

This chapter describes in detail how the main techniques of statistical machine learning can be constructed from the components described in earlier chapters. It presents these concepts in a way which demonstrates how these techniques can be viewed as special cases of a more general probabilistic model which we fit to some data.

Keywords:   Feature and kernel functions, mixture modelling, expectation-maximization, clustering, K-means, classification, linear and quadratic discriminant analysis, support vector machines, regression, Bayesian regression, nonparametric regression, dimensionality reduction, probabilistic principal components analysis

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