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» Strategies in Rigid-Variable Methods
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94
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ANCS
2006
ACM
15 years 4 months ago
Packet classification using coarse-grained tuple spaces
While the problem of high performance packet classification has received a great deal of attention in recent years, the research community has yet to develop algorithmic methods t...
Haoyu Song, Jonathan S. Turner, Sarang Dharmapurik...
95
Voted
SDM
2008
SIAM
130views Data Mining» more  SDM 2008»
15 years 2 months ago
Mining Sequence Classifiers for Early Prediction
Supervised learning on sequence data, also known as sequence classification, has been well recognized as an important data mining task with many significant applications. Since te...
Zhengzheng Xing, Jian Pei, Guozhu Dong, Philip S. ...
101
Voted
BMCBI
2010
116views more  BMCBI 2010»
15 years 24 days ago
FiGS: a filter-based gene selection workbench for microarray data
Background: The selection of genes that discriminate disease classes from microarray data is widely used for the identification of diagnostic biomarkers. Although various gene sel...
Taeho Hwang, Choong-Hyun Sun, Taegyun Yun, Gwan-Su...
108
Voted
BMCBI
2007
160views more  BMCBI 2007»
15 years 24 days ago
Convergent algorithms for protein structural alignment
Background: Many algorithms exist for protein structural alignment, based on internal protein coordinates or on explicit superposition of the structures. These methods are usually...
Leandro Martínez, Roberto Andreani, Jos&eac...
99
Voted
BMCBI
2010
155views more  BMCBI 2010»
15 years 24 days 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