240 search results - page 38 / 48 » Laplacian Spectrum Learning |
132
Voted
BMCBI
2008
15 years 3 months ago
2008
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
151
Voted
BMCBI
2007
15 years 3 months ago
2007
Background: High-throughput peptide and protein identification technologies have benefited tremendously from strategies based on tandem mass spectrometry (MS/MS) in combination wi...
113
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Evolutionary Clustering has emerged as an important research topic in recent literature of data mining, and solutions to this problem have found a wide spectrum of applications, p...
128
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
96
Voted
RSFDGRC
2005
Springer
15 years 9 months ago
2005
Springer
Abstract. The Unpredictability Measure computation algorithm applied to psychoacoustic model-based broadband noise attenuation is discussed. A learning decision algorithm based on ...