1037 search results - page 171 / 208 » Learning of Boolean Functions Using Support Vector Machines |
BMCBI
2007
13 years 7 months ago
2007
Background: Support Vector Machines (SVMs) provide a powerful method for classification (supervised learning). Use of SVMs for clustering (unsupervised learning) is now being cons...
BMCBI
2006
13 years 7 months ago
2006
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
BIBM
2008
IEEE
14 years 2 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
GECCO
2005
Springer
14 years 1 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...
CIKM
2004
Springer
13 years 11 months ago
2004
Springer
In this paper we study the problem of collecting training samples for building enterprise taxonomies. We develop a computer-aided tool named InfoAnalyzer, which can effectively as...