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NIPS
2008
15 years 7 months ago
Theory of matching pursuit
We analyse matching pursuit for kernel principal components analysis (KPCA) by proving that the sparse subspace it produces is a sample compression scheme. We show that this bound...
Zakria Hussain, John Shawe-Taylor
ICASSP
2010
IEEE
15 years 6 months ago
Training a support vector machine to classify signals in a real environment given clean training data
When building a classifier from clean training data for a particular test environment, knowledge about the environmental noise and channel should be taken into account. We propos...
Kevin Jamieson, Maya R. Gupta, Eric Swanson, Hyrum...
BMCBI
2008
93views more  BMCBI 2008»
15 years 6 months ago
Hybrid MM/SVM structural sensors for stochastic sequential data
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
Brian Roux, Stephen Winters-Hilt
FSTTCS
2010
Springer
15 years 4 months ago
Determining the Winner of a Dodgson Election is Hard
Computing the Dodgson Score of a candidate in an election is a hard computational problem, which has been analyzed using classical and parameterized analysis. In this paper we reso...
Michael R. Fellows, Bart M. P. Jansen, Daniel Loks...
EUROISI
2008
15 years 8 months ago
Buzz Monitoring in Word Space
This paper discusses the task of tracking mentions of some topically interesting textual entity from a continuously and dynamically changing flow of text, such as a news feed, the ...
Magnus Sahlgren, Jussi Karlgren