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ICASSP
2010
IEEE
15 years 4 months ago
Weakly supervised learning with decision trees applied to fisheries acoustics
This paper addresses the training of classification trees for weakly labelled data. We call ”weakly labelled data”, a training set such as the prior labelling information pro...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
JCP
2006
85views more  JCP 2006»
15 years 4 months ago
A Constructive Meta-Level Feature Selection Method based on Method Repositories
Feature selection is one of key issues related with data pre-processing of classification task in a data mining process. Although many efforts have been done to improve typical fea...
Hidenao Abe, Takahira Yamaguchi
SEMCO
2009
IEEE
15 years 11 months ago
A Quality Perspective of Software Evolvability Using Semantic Analysis
Software development and maintenance are highly distributed processes that involve a multitude of supporting tools and resources. Knowledge relevant to these resources is typicall...
Philipp Schügerl, Juergen Rilling, René...
UAI
2008
15 years 5 months ago
Latent Topic Models for Hypertext
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
PPSN
2010
Springer
15 years 2 months ago
Optimisation and Generalisation: Footprints in Instance Space
Abstract. The chief purpose of research in optimisation is to understand how to design (or choose) the most suitable algorithm for a given distribution of problem instances. Ideall...
David W. Corne, Alan P. Reynolds