Linked Life Data

16104769

Source:http://linkedlifedata.com/resource/pubmed/id/16104769

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
17
pubmed:dateCreated
2005-8-17
pubmed:abstractText
The aim of this study was to compare the performance of different supervised discrimination methods based on IR data for the classification of starches according to the type of chemical modification undergone. The goal of the supervised classification methods is to develop classification rules. Representative samples of each group (known beforehand) were available, from which the relevant characteristics (chemical modification) were known. On the basis of a training data set, classification rules are determined, which can then be applied to classify new (unknown) samples.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0021-8561
pubmed:author
pubmed:issnType
Print
pubmed:day
24
pubmed:volume
53
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
6581-5
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Classification of modified starches by fourier transform infrared spectroscopy using support vector machines.
pubmed:affiliation
Statistics and Computer Sciences Department, University of Agronomical Sciences, Avenue de la Faculté 8, 5030 Gembloux, Belgium.
pubmed:publicationType
Journal Article