PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Using Discrete PCA on Web Pages
Wray Buntine, Sami Perttu and Ville Tuulos
In: Statistical Approaches to Web Mining, 2004, 20-20 September 2004, Pisa, Italy.

Abstract

Discrete PCA builds components for discrete data rather like PCA and ICA does for real data. The method has a long history and is most commonly used in genetics. Recent insights into the method are described here, and some examples of given of its use in automatically building a topic model for a document collection, and in its use as a tool for relevance estimation in search. The topic model can also be subsequently used in search. This discussion paper describes our ongoing research here.

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EPrint Type:Conference or Workshop Item (Oral)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:276
Deposited By:Wray Buntine
Deposited On:25 December 2004