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Input space versus feature space in kernel-based methods.

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Title: Input space versus feature space in kernel-based methods.
Authors: Schölkopf B; GMD FIRST, 12489 Berlin, Germany., Mika S, Burges CC, Knirsch P, Müller KR, Rätsch G, Smola AJ
Source: IEEE transactions on neural networks [IEEE Trans Neural Netw] 1999; Vol. 10 (5), pp. 1000-17.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101211035 Publication Model: Print Cited Medium: Print ISSN: 1045-9227 (Print) Linking ISSN: 10459227 NLM ISO Abbreviation: IEEE Trans Neural Netw Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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PubType: Academic Journal
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        Value: 10.1109/72.788641
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      – Code: eng
        Text: English
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        StartPage: 1000
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      – TitleFull: Input space versus feature space in kernel-based methods.
        Type: main
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            NameFull: Burges CC
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            NameFull: Knirsch P
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            NameFull: Müller KR
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              Text: 1999
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              Y: 1999
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            – TitleFull: IEEE transactions on neural networks
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