9 search results - page 1 / 2 » Analysis of Galactic Spectra using Noise-Aware Learning Algo... |
FLAIRS
2006
13 years 7 months ago
2006
We introduce a novel learning algorithm for noise elimination. Our algorithm is based on the re-measurement idea for the correction of erroneous observations and is able to discri...
BMCBI
2008
13 years 5 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...
BMCBI
2008
13 years 5 months ago
2008
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
NIPS
2003
13 years 7 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
GECCO
2005
Springer
13 years 11 months ago
2005
Springer
Serum profiling using mass spectrometry is an emerging technology with a great potential to provide biomarkers for complex diseases such as cancer. However, protein profiles obtai...