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ICML
2005
IEEE
14 years 10 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
ICML
2004
IEEE
14 years 10 months ago
Predictive automatic relevance determination by expectation propagation
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...
Yuan (Alan) Qi, Thomas P. Minka, Rosalind W. Picar...
JMLR
2010
99views more  JMLR 2010»
13 years 3 months ago
An Efficient Explanation of Individual Classifications using Game Theory
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
Erik Strumbelj, Igor Kononenko
ICML
2005
IEEE
14 years 10 months ago
Fast condensed nearest neighbor rule
We present a novel algorithm for computing a training set consistent subset for the nearest neighbor decision rule. The algorithm, called FCNN rule, has some desirable properties....
Fabrizio Angiulli
BMCBI
2006
152views more  BMCBI 2006»
13 years 9 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...