1211 search results - page 6 / 243 » Predicting building contamination using machine learning |
KELSI
2004
Springer
15 years 2 months ago
2004
Springer
Predictive toxicology is the task of building models capable of determining, with a certain degree of accuracy, the toxicity of chemical compounds. Machine Learning (ML) in general...
ILP
2005
Springer
15 years 3 months ago
2005
Springer
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
BMCBI
2008
14 years 9 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...
HAIS
2009
Springer
15 years 2 months ago
2009
Springer
Abstract. Protein membership prediction is a fundamental task to retrieve information for unknown or unidentified sequences. When support vector machines (SVMs) are associated with...
ACL
2001
14 years 11 months ago
2001
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...