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NIPS
2003
15 years 1 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
92
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BMCBI
2010
155views more  BMCBI 2010»
15 years 21 hour ago
A flexible R package for nonnegative matrix factorization
Background: Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face re...
Renaud Gaujoux, Cathal Seoighe
BMCBI
2008
129views more  BMCBI 2008»
15 years 20 hour ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
BMCBI
2008
147views more  BMCBI 2008»
15 years 19 hour ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
BMCBI
2006
137views more  BMCBI 2006»
14 years 12 months ago
Sigma: multiple alignment of weakly-conserved non-coding DNA sequence
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...
Rahul Siddharthan