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| 2 | <!DOCTYPE Archive SYSTEM "http://greenstone.org/dtd/Archive/1.0/Archive.dtd">
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| 3 | <Archive>
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| 4 | <Section>
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| 5 | <Description>
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| 6 | <Metadata name="gsdlsourcefilename">import/CMSwp-all.marc</Metadata>
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| 12 | <Metadata name="SourceSegment">182</Metadata>
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| 13 | <Metadata name="Plugin">MARCPlugin</Metadata>
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| 14 | <Metadata name="FileFormat">MARC</Metadata>
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| 15 | <Metadata name="dc.Date">c2002.</Metadata>
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| 16 | <Metadata name="dc.Description">Includes bibliographical references (p. 18-19).</Metadata>
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| 17 | <Metadata name="dc.Subject">Algorithms.</Metadata>
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| 18 | <Metadata name="dc.Subject">Set theory.</Metadata>
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| 19 | <Metadata name="dc.Subject">Machine learning.</Metadata>
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| 20 | <Metadata name="dc.Subject">Data mining.</Metadata>
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| 21 | <Metadata name="dc.Creator">University of Waikato. Dept. of Computer Science.</Metadata>
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| 22 | <Metadata name="dc.Description">"June 2002."</Metadata>
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| 23 | <Metadata name="dc.Publisher">Dept. of Computer Science, University of Waikato,</Metadata>
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| 24 | <Metadata name="dc.Creator">Bouckaert, Remco R.</Metadata>
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| 25 | <Metadata name="dc.Title">Accuracy bounds for ensembles under 0 - 1 loss / Remco R. Bouckaert.</Metadata>
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| 26 | <Metadata name="dc.Publisher">Hamilton, N.Z. :</Metadata>
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| 27 | <Metadata name="Identifier">HASH6a30b66a3a5419ad674b26s182</Metadata>
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| 33 | </Description>
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| 34 | <Content><pre>
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| 35 | LDR 01057cam 2200313 a 4500
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| 37 | 005 20020724085127.0
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| 40 | 020 _c Gratis (spiral binding)
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| 47 | 082 04 _a 005.1
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| 48 | _2 21
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| 49 | 092 _a QA75.5.W926 no.2002/04
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| 50 | 100 1 _a Bouckaert, Remco R.
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| 51 | 245 10 _a Accuracy bounds for ensembles under 0 - 1 loss /
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| 52 | _c Remco R. Bouckaert.
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| 53 | 260 _a Hamilton, N.Z. :
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| 54 | _b Dept. of Computer Science, University of Waikato,
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| 55 | _c c2002.
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| 56 | 300 _a 19 p. :
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| 57 | _b ill. ;
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| 58 | _c 30 cm.
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| 59 | 490 1 _a Working paper series,
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| 60 | _x 1170-487X ;
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| 61 | _v 04/02
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| 62 | 500 _a "June 2002."
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| 63 | 504 _a Includes bibliographical references (p. 18-19).
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| 64 | 650 0 _a Algorithms.
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| 65 | 650 0 _a Set theory.
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| 66 | 650 0 _a Machine learning.
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| 67 | 650 0 _a Data mining.
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| 68 | 710 _a University of Waikato.
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| 69 | _b Dept. of Computer Science.
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| 70 | 830 0 _a Working paper series (University of Waikato. Dept. of
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| 71 | Computer Science) ;
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| 72 | _v 02/04.
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| 73 | </pre>
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| 74 | </Content>
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| 75 | </Section>
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| 76 | </Archive>
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