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ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 8 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb
AMSTERDAM
2009
13 years 6 months ago
There Is Something about Might
In this paper we present an alternative interpretation of statements of epistemic possibility, which does not induce a consistency test on a common ground, as in (Veltman 1996), bu...
Paul Dekker
BMCBI
2011
13 years 4 months ago
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
Xavier Robin, Natacha Turck, Alexandre Hainard, Na...
EJWCN
2011
133views more  EJWCN 2011»
13 years 4 months ago
CARNIVORE: A Disruption-Tolerant System for Studying Wildlife
—This paper presents CARNIVORE, a system for in-situ, yet unobtrusive monitoring of cryptic, difficult-tocatch/observe wildlife in their natural habitat. CARNIVORE consists of a...
Matthew Rutishauser, Vladislav Petkov, Jay Boice, ...
JMLR
2010
118views more  JMLR 2010»
13 years 3 months ago
Hilbert Space Embeddings and Metrics on Probability Measures
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing, and independence testing....
Bharath K. Sriperumbudur, Arthur Gretton, Kenji Fu...