Linked Life Data

11813811

Source:http://linkedlifedata.com/resource/pubmed/id/11813811

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2002-1-29
pubmed:abstractText
We introduce the Gaussian process (GP) model for the empirical modelling of the log P values of 44 1,2-dithiole-3-one molecules. A brief theoretical description of the method is given. Descriptive and predictive abilities of GP are evaluated and compared to multilinear regression results. Special attention is devoted to the automatic relevance determination (ARD) to reduce input variable numbers, which avoid the use of principal component analysis. The present approach was found to be an efficient method and a good alternative to more complicated using artificial neural network systems.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1062-936X
pubmed:author
pubmed:issnType
Print
pubmed:volume
12
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
461-9
pubmed:meshHeading
pubmed:year
2001
pubmed:articleTitle
Gaussian process: an efficient technique to solve quantitative structure-property relationship problems.
pubmed:affiliation
Département de Physicochimie UPRES 1795, Ecole Nationale Supérieure de Chimie de Rennes, Institut de Chimie de Rennes, France.
pubmed:publicationType
Journal Article