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CCE
2005
15 years 6 months ago
Selecting maximally informative genes
Microarray experiments are emerging as one of the main driving forces in modern biology. By allowing the simultaneous monitoring of the expression of the entire genome for a given...
Ioannis P. Androulakis
NECO
2000
86views more  NECO 2000»
15 years 6 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
KAIS
2010
144views more  KAIS 2010»
15 years 5 months ago
Boosting support vector machines for imbalanced data sets
Real world data mining applications must address the issue of learning from imbalanced data sets. The problem occurs when the number of instances in one class greatly outnumbers t...
Benjamin X. Wang, Nathalie Japkowicz
VSGAMES
2010
114views Game Theory» more  VSGAMES 2010»
15 years 5 months ago
Privacy Challenges and Methods for Virtual Classrooms in Second Life Grid and OpenSimulator
—Mass adoption of virtual world platforms for education and training implies efficient management of computational resources. In Second Life Grid and OpenSimulator, commonly used...
Andreas Vilela, Marcio Cardoso, Daniel Martins, Ar...
ESEM
2010
ACM
15 years 4 months ago
Exploring the use of crowdsourcing to support empirical studies in software engineering
The power and the generality of the findings obtained through empirical studies are bounded by the number and type of participating subjects. In software engineering, obtaining a ...
Kathryn T. Stolee, Sebastian G. Elbaum