Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds.
Saved in:
| Title: | Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. |
|---|---|
| Authors: | Cannon, Edward O.1, Amini, Ata1,2, Bender, Andreas3, Sternberg, Michael J. E.1,2, Muggleton, Stephen H.1,3, Glen, Robert C.1, Mitchell, John B. O.1, jbom1@cam.ac.uk |
| Source: | Journal of Computer-Aided Molecular Design; May2007, Vol. 21 Issue 5, p269-280, 12p, 3 Charts, 12 Graphs |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
|---|---|
| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 24798517 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Cannon%2C+Edward+O%2E%22">Cannon, Edward O.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Amini%2C+Ata%22">Amini, Ata</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Bender%2C+Andreas%22">Bender, Andreas</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Sternberg%2C+Michael+J%2E+E%2E%22">Sternberg, Michael J. E.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Muggleton%2C+Stephen+H%2E%22">Muggleton, Stephen H.</searchLink><relatesTo>1,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Glen%2C+Robert+C%2E%22">Glen, Robert C.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Mitchell%2C+John+B%2E+O%2E%22">Mitchell, John B. O.</searchLink><relatesTo>1</relatesTo>, <i>jbom1@cam.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computer-Aided+Molecular+Design%22">Journal of Computer-Aided Molecular Design</searchLink>; May2007, Vol. 21 Issue 5, p269-280, 12p, 3 Charts, 12 Graphs |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=24798517 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10822-007-9113-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 269 Titles: – TitleFull: Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming for the classification of bioactive chemical compounds. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cannon, Edward O. – PersonEntity: Name: NameFull: Amini, Ata – PersonEntity: Name: NameFull: Bender, Andreas – PersonEntity: Name: NameFull: Sternberg, Michael J. E. – PersonEntity: Name: NameFull: Muggleton, Stephen H. – PersonEntity: Name: NameFull: Glen, Robert C. – PersonEntity: Name: NameFull: Mitchell, John B. O. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2007 Type: published Y: 2007 Identifiers: – Type: issn-print Value: 0920654X Numbering: – Type: volume Value: 21 – Type: issue Value: 5 Titles: – TitleFull: Journal of Computer-Aided Molecular Design Type: main |
| ResultId | 1 |
