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ICML
2004
IEEE
16 years 7 months ago
Learning and evaluating classifiers under sample selection bias
Classifier learning methods commonly assume that the training data consist of randomly drawn examples from the same distribution as the test examples about which the learned model...
Bianca Zadrozny
BMCBI
2008
119views more  BMCBI 2008»
15 years 6 months ago
Gene Ontology density estimation and discourse analysis for automatic GeneRiF extraction
Background: This paper describes and evaluates a sentence selection engine that extracts a GeneRiF (Gene Reference into Functions) as defined in ENTREZ-Gene based on a MEDLINE rec...
Julien Gobeill, Imad Tbahriti, Frédé...
CDC
2009
IEEE
162views Control Systems» more  CDC 2009»
15 years 11 months ago
Distributed optimal planning: an approach by weighted automata calculus
— We consider a distributed system modeled as a possibly large network of automata. Planning in this system consists in selecting and organizing actions in order to reach a goal ...
Eric Fabre, Loig Jezequel
ECSQARU
2009
Springer
16 years 1 months ago
Maximum Likelihood Learning of Conditional MTE Distributions
We describe a procedure for inducing conditional densities within the mixtures of truncated exponentials (MTE) framework. We analyse possible conditional MTE specifications and pr...
Helge Langseth, Thomas D. Nielsen, Rafael Rum&iacu...
ICASSP
2009
IEEE
16 years 1 months ago
Voronoi cell shaping for feature selection with discrete HMMs
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Joachim Schenk, Gerhard Rigoll