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ICML
2007
IEEE
16 years 7 months ago
Spectral feature selection for supervised and unsupervised learning
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
Zheng Zhao, Huan Liu
ICML
2007
IEEE
16 years 7 months ago
Manifold-adaptive dimension estimation
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
Amir Massoud Farahmand, Csaba Szepesvári, J...
SIGSOFT
2007
ACM
16 years 7 months ago
An empirical study on the evolution of design patterns
Design patterns are solutions to recurring design problems, conceived to increase benefits in terms of reuse, code quality and, above all, maintainability and resilience to change...
Lerina Aversano, Gerardo Canfora, Luigi Cerulo, Co...
WWW
2007
ACM
16 years 7 months ago
Formalization, User Strategy And Interaction Design: Users? Behaviour With Discourse Tagging Semantics
When authors publish their interpretations of the ideas, opinions, claims or rebuttals in the literature, they are drawing on a repertoire of well understood moves, contributing t...
Bertrand Sereno, Simon Buckingham Shum, Enrico Mot...
WWW
2007
ACM
16 years 7 months ago
Fostering Knowledge Evolution through Community-based Participation
The ontology development process is typically led by single or small groups of experts, with users mostly playing a passive role. Such an elitist approach in building ontologies h...
Domenico Gendarmi, Fabio Abbattista, Filippo Lanub...