• Contrast Style 4
  • Contrast Style 3
  • Contrast Style 2
  • Contrast Style 1
Text size

Feature Selection Via Joint Likelihood

Adam C Pocock (author)

UK Price: £75.00 EU Price: €95.00 ROW (USD) Price: $105.00 
add to basket

Buy this eBook

BCS eBooks are available in a variety of formats, including Kindle, ePub and PDF. You can purchase this title from a number of online retailers (including those listed below).

ISBN: 9781780172491
Format: Paperback
Dimensions: 210 x 297
Number of pages: 174
Publication date: 21 NOV 2013
Publisher: BCS, The Chartered Institute for IT

The field of feature selection has many different competing algorithms, selection criteria and measure functions, with little theoretical justification for the choice of one measure over another. This thesis focuses on feature selection algorithms that use information theoretic criteria and provide a solid theoretical justification for their use. It also presents experimental results showing how the different factorisation assumptions affect classification performance.
Adam Pocock studied for his PhD in the School of Computer Science at the University of Manchester, working in both the Machine Learning and Optimisation group and the Advanced Processor Technologies group, where he was supervised by Dr Gavin Brown and Dr Mikel Luján. His PhD was the product of 8 years at Manchester where he also gained an MSc and a BSc. He currently works in the Information Retrieval and Machine Learning group at Oracle Labs. His research interests lie in probabilistic explanations of feature selection using information theory, and in applying probabilistic inference to massive datasets.

1 Introduction

2 Background

3 What is feature selection?

4 Deriving a selection criterion

5 Unifying information theoretic filters

6 Priors for filter feature selection

7 Cost-sensitive feature selection

8 Conclusions and future directions


Add a review

Post a review

Reviews are subject to approval by the moderator

Your Name *

Your Email Address (Not Published) *

Your Comments *


Please type the character "m" *

* = required field