| Record ID | marc_columbia/Columbia-extract-20221130-004.mrc:48211897:2016 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-004.mrc:48211897:2016?format=raw |
LEADER: 02016fam a2200385 a 4500
001 1534441
005 20220608183034.0
008 940210s1994 nju b 001 0 eng
010 $a 94007096
020 $a013106360X
035 $a(OCoLC)29954055
035 $a(OCoLC)ocm29954055
035 $9AKB2662CU
035 $a(NNC)1534441
035 $a1534441
040 $aDLC$cDLC$dNNC
050 00 $aQ325.5$b.M324 1994
082 00 $a001/.012$220
245 00 $aMachine learning, neural and statistical classification /$ceditors, D. Michie, D.J. Spiegelhalter, C.C. Taylor.
260 $aEnglewood Cliffs, N.J. :$bPrentice Hall,$c1994.
263 $a9404
300 $axiv, 289 pages :$billustrations ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aEllis Horwood series in artificial intelligence
504 $aIncludes bibliographical references (p. [268]-283) and index.
505 0 $a1. Introduction -- 2. Classification -- 3. Classical Statistical Methods -- 4. Modern Statistical Techniques -- 5. Machine Learning of Rules and Trees -- 6. Neural Networks -- 7. Methods for Comparison -- 8. Review of Previous Empirical Comparisons -- 9. Dataset Descriptions and Results -- 10. Analysis of Results -- 11. Conclusions -- 12. Knowledge Representation -- 13. Learning to Control Dynamic Systems -- A Dataset availability -- B Software sources and details -- C Contributors.
650 0 $aMachine learning.$0http://id.loc.gov/authorities/subjects/sh85079324
650 0 $aNeural networks (Computer science)$0http://id.loc.gov/authorities/subjects/sh90001937
650 0 $aClassification$xStatistical methods.
700 1 $aMichie, Donald.$0http://id.loc.gov/authorities/names/n80041434
700 1 $aSpiegelhalter, D. J.$0http://id.loc.gov/authorities/names/n94017678
700 1 $aTaylor, C. C.,$d1959-$0http://id.loc.gov/authorities/names/n94017673
830 0 $aEllis Horwood series in artificial intelligence.
852 00 $boff,eng$hQ325.5$i.M324 1994