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ICML
2009
IEEE
16 years 7 months ago
Large margin training for hidden Markov models with partially observed states
Large margin learning of Continuous Density HMMs with a partially labeled dataset has been extensively studied in the speech and handwriting recognition fields. Yet due to the non...
Thierry Artières, Trinh Minh Tri Do
ICML
2007
IEEE
16 years 7 months ago
Supervised feature selection via dependence estimation
We introduce a framework for filtering features that employs the Hilbert-Schmidt Independence Criterion (HSIC) as a measure of dependence between the features and the labels. The ...
Le Song, Alex J. Smola, Arthur Gretton, Karsten M....
ICML
2008
IEEE
16 years 7 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
ICML
2000
IEEE
16 years 7 months ago
Learning to Create Customized Authority Lists
The proliferation of hypertext and the popularity of Kleinberg's HITS algorithm have brought about an increased interest in link analysis. While HITS and its older relatives ...
Huan Chang, David Cohn, Andrew McCallum
RECOMB
2006
Springer
16 years 7 months ago
Sorting by Weighted Reversals, Transpositions, and Inverted Transpositions
Abstract. During evolution, genomes are subject to genome rearrangements that alter the ordering and orientation of genes on the chromosomes. If a genome consists of a single chrom...
Martin Bader, Enno Ohlebusch
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