PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Bagging Evolutionary ROC-based Hypotheses Application to Terminology Extraction
Azé Jérôme, Roche Mathieu and Sebag Michèle
In: ROCML (ROC Analysis in ML), 11 August 2005, Bonn, Germany.


The claim of the paper is that Evolutionary Learning is a source of diverse hypotheses “for free”, and this specificity canbe used to combine in an ensemble the hypotheses learned in independent runs. The aim of our algorithm named Broger (Bagging-ROC GEnetic LEarneR) consists of optimizing the Area Under theROC Curve usingEvolutionary Learning. This paper first presents the theoretical framework of Broger and then its application to a Term Extraction task in Text Mining.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Natural Language Processing
ID Code:1958
Deposited By:Mathieu Roche
Deposited On:01 January 2006