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ICML
2007
IEEE
16 years 4 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
145
Voted
ICML
2003
IEEE
16 years 4 months ago
Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Learning in many multi-agent settings is inherently repeated play. This calls into question the naive application of single play Nash equilibria in multi-agent learning and sugges...
Jeff L. Stimpson, Michael A. Goodrich
131
Voted
PPOPP
2010
ACM
16 years 1 months ago
Structure-driven optimizations for amorphous data-parallel programs
Irregular algorithms are organized around pointer-based data structures such as graphs and trees, and they are ubiquitous in applications. Recent work by the Galois project has pr...
Mario Méndez-Lojo, Donald Nguyen, Dimitrios...
131
Voted
PRDC
2009
IEEE
15 years 10 months ago
An Early-Stopping Protocol for Computing Aggregate Functions in Sensor Networks
Abstract—In this paper, we study algebraic aggregate computations in Sensor Networks. The main contribution is the presentation of an early-stopping protocol that computes the av...
Antonio Fernández Anta, Miguel A. Mosteiro,...
136
Voted
CIKM
2009
Springer
15 years 10 months ago
Using domain ontology for semantic web usage mining and next page prediction
This paper proposes the integration of semantic information drawn from a web application’s domain knowledge into all phases of the web usage mining process (preprocessing, patte...
Nizar R. Mabroukeh, Christie I. Ezeife