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» Evaluating algorithms that learn from data streams
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BMCBI
2010
155views more  BMCBI 2010»
15 years 7 months 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
2006
137views more  BMCBI 2006»
15 years 7 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
BMCBI
2007
119views more  BMCBI 2007»
15 years 7 months ago
Efficacy of different protein descriptors in predicting protein functional families
Background: Sequence-derived structural and physicochemical descriptors have frequently been used in machine learning prediction of protein functional families, thus there is a ne...
Serene A. K. Ong, Hong Huang Lin, Yu Zong Chen, Ze...
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 7 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 7 months ago
An Analysis of Transaction and Joint-patent Application Networks
Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their compet...
Hiroyasu Inoue