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ICML
2004
IEEE
14 years 5 months ago
Gaussian process classification for segmenting and annotating sequences
Many real-world classification tasks involve the prediction of multiple, inter-dependent class labels. A prototypical case of this sort deals with prediction of a sequence of labe...
Yasemin Altun, Thomas Hofmann, Alex J. Smola
BMCBI
2006
159views more  BMCBI 2006»
13 years 4 months ago
EVEREST: automatic identification and classification of protein domains in all protein sequences
Background: Proteins are comprised of one or several building blocks, known as domains. Such domains can be classified into families according to their evolutionary origin. Wherea...
Elon Portugaly, Amir Harel, Nathan Linial, Michal ...
BMCBI
2005
124views more  BMCBI 2005»
13 years 4 months ago
Probabilistic annotation of protein sequences based on functional classifications
: One of the most evident achievements of bioinformatics is the development of methods that transfer biological knowledge from characterised proteins to uncharacterised sequences. ...
Emmanuel D. Levy, Christos A. Ouzounis, Walter R. ...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Using rhetorical annotations for generating video documentaries
We use rhetorical annotations to specify a generation process that can assemble meaningful video sequences with a communicative goal and an argumentative progression. Our annotati...
Stefano Bocconi, Frank Nack, Lynda Hardman
TSP
2010
12 years 11 months ago
Joint nonlinear channel equalization and soft LDPC decoding with Gaussian processes
In this paper, we introduce a new approach for nonlinear equalization based on Gaussian processes for classification (GPC). We propose to measure the performance of this equalizer ...
Pablo M. Olmos, Juan José Murillo-Fuentes, ...