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BMCBI
2007
157views more  BMCBI 2007»
13 years 8 months ago
Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
Nico Pfeifer, Andreas Leinenbach, Christian G. Hub...
BMCBI
2007
166views more  BMCBI 2007»
13 years 8 months ago
Optimization of filtering criterion for SEQUEST database searching to improve proteome coverage in shotgun proteomics
Background: In proteomic analysis, MS/MS spectra acquired by mass spectrometer are assigned to peptides by database searching algorithms such as SEQUEST. The assignations of pepti...
Xinning Jiang, Xiaogang Jiang, Guanghui Han, Mingl...
CIKM
2004
Springer
14 years 2 months ago
Hierarchical document categorization with support vector machines
Automatically categorizing documents into pre-defined topic hierarchies or taxonomies is a crucial step in knowledge and content management. Standard machine learning techniques ...
Lijuan Cai, Thomas Hofmann
KDD
2009
ACM
266views Data Mining» more  KDD 2009»
14 years 3 months ago
OpinionMiner: a novel machine learning system for web opinion mining and extraction
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. Unfortunately, reading through al...
Wei Jin, Hung Hay Ho, Rohini K. Srihari
IJON
2006
131views more  IJON 2006»
13 years 8 months ago
Optimizing blind source separation with guided genetic algorithms
This paper proposes a novel method for blindly separating unobservable independent component (IC) signals based on the use of a genetic algorithm. It is intended for its applicati...
J. M. Górriz, Carlos García Puntonet...