Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

March 12, 2011

Combining Pattern Classifiers: Methods and Algorithms

Filed under: Bayesian Models,Classifier,Classifier Fusion,Linear Regression,Neighbors — Patrick Durusau @ 6:46 pm

Combining Pattern Classifiers: Methods and Algorithms, Ludmila I. Kuncheva (2004)

WorldCat entry: Combining Pattern Classifiers: Methods and Algorithms

From the preface:

Everyday life throws at us an endless number of pattern recognition problems: smells, images, voices, faces, situations, and so on. Most of these problems we solve at a sensory level or intuitively, without an explicit method or algorithm. As soon as we are able to provide an algorithm the problem becomes trivial and we happily delegate it to the computer. Indeed, machines have confidently replaced humans in many formerly difficult or impossible, now just tedious pattern recognition tasks such as mail sorting, medical test reading, military target recognition, signature verification, meteorological forecasting, DNA matching, fingerprint recognition, and so on.

In the past, pattern recognition focused on designing single classifiers. This book is about combining the “opinions” of an ensemble of pattern classifiers in the hope that the new opinion will be better than the individual ones. “Vox populi, vox Dei.”

The field of combining classifiers is like a teenager: full of energy, enthusiasm, spontaneity, and confusion; undergoing quick changes and obstructing the attempts to bring some order to its cluttered box of accessories. When I started writing this book, the field was small and tidy, but it has grown so rapidly that I am faced with the Herculean task of cutting out a (hopefully) useful piece of this rich, dynamic, and loosely structured discipline. This will explain why some methods and algorithms are only sketched, mentioned, or even left out and why there is a chapter called “Miscellanea” containing a collection of important topics that I could not fit anywhere else.

Appreciate the author’s suggesting of older material to see how the pattern recognition developed.

Suggestions/comments on this or later literature on pattern recognition?

March 4, 2011

Learning to classify text using support vector machines

Filed under: Classifier,Machine Learning,Vectors — Patrick Durusau @ 3:58 pm

I saw a tweet recently that pointed to: Learning to classify text using support vector machines, which is Thorsten Joachims’ dissertation, The Maximum-Margin Approach to Learning Text Classifiers as published by Kluwer (not Springer).

Of possible greater interest would be Joachims more recent work found at his homepage, which includes software from his dissertation as well as more recent projects.

I am sure his dissertation will repay close study but at > $150 U.S., I am going to have to wait for an library ILL to find its way to me.

February 19, 2011

uClassify

Filed under: Classifier — Patrick Durusau @ 4:19 pm

uClassify

Web-based interface that allows users to create their own text classifiers.

For example, web-interface allows up to 400 words to classify a text.

Has possibilities, both as a service as well as an idea for a number of similar services.

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