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» Learning Generative Models of Similarity Matrices
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BMCBI
2008
164views more  BMCBI 2008»
13 years 5 months ago
Word correlation matrices for protein sequence analysis and remote homology detection
Background: Classification of protein sequences is a central problem in computational biology. Currently, among computational methods discriminative kernel-based approaches provid...
Thomas Lingner, Peter Meinicke
BMCBI
2010
111views more  BMCBI 2010»
13 years 5 months ago
Protein sequences classification by means of feature extraction with substitution matrices
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Ngu...
CCR
2005
76views more  CCR 2005»
13 years 4 months ago
Simplifying the synthesis of internet traffic matrices
A recent paper [8] presented methods for several steps along the road to synthesis of realistic traffic matrices. Such synthesis is needed because traffic matrices are a crucial i...
Matthew Roughan
NIPS
2004
13 years 6 months ago
Similarity and Discrimination in Classical Conditioning: A Latent Variable Account
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and gener...
Aaron C. Courville, Nathaniel D. Daw, David S. Tou...
SPIRE
2010
Springer
13 years 3 months ago
Hypergeometric Language Model and Zipf-Like Scoring Function for Web Document Similarity Retrieval
The retrieval of similar documents in the Web from a given document is different in many aspects from information retrieval based on queries generated by regular search engine use...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...