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01741nam a2200433 a 4500 |
| 001 |
2002823 |
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20171111235947.0 |
| 008 |
030630s1998 nyu r 000 0 eng d |
| 020 |
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|a 0471030031
|q cloth: alk. paper
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| 040 |
|
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|a ΤΕΙ-ΣΕΡΡΩΝ
|b gre
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| 082 |
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0 |
|2 21 ed.
|a 006.31
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| 082 |
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0 |
|a 008.31
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| 082 |
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0 |
|a 006.31
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| 082 |
0 |
0 |
|a 008.31
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| 100 |
1 |
0 |
|a Vapnik, Vladimir Naumovich
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| 245 |
1 |
0 |
|a Statistical learning theory/
|c Vladimir N. Vapnik
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| 260 |
1 |
0 |
|a New York:
|b Wiley,
|c 1998
|
| 300 |
1 |
0 |
|a xxiv, 736 σ. :
|b εικ. ;
|c 25 εκ.
|
| 490 |
0 |
0 |
|a Adaptive and learning systems for signal processing, communications and control
|
| 500 |
0 |
0 |
|a "A Wiley-Interscience publication."
|
| 500 |
0 |
0 |
|a Περιέχει βιβλιογραφία και ευρετήριο
|
| 500 |
0 |
0 |
|a Περιέχει ευρετήριο και βιβλιογραφία
|
| 500 |
0 |
0 |
|a Bibliography: p.723-736
|
| 500 |
0 |
0 |
|a "A Wiley-Interscience publication".
|
| 504 |
0 |
0 |
|a Βιβλιογραφία: σ. 723-732 και ευρετήριο
|
| 504 |
0 |
0 |
|a Includes bibliographic refernces and index
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| 504 |
0 |
0 |
|a Includes bibliographical references and index.
|
| 650 |
1 |
7 |
|a Υπολογιστική θεωρία της μάθησης
|
| 650 |
1 |
0 |
|a Computational learning theory
|
| 650 |
1 |
7 |
|a Mathematics
|
| 650 |
1 |
7 |
|a Statistics
|
| 650 |
1 |
7 |
|a Machine learning
|
| 650 |
1 |
7 |
|a Data transmission
|
| 650 |
1 |
7 |
|a Information transfer
|
| 650 |
1 |
0 |
|a Computational learning theory
|
| 710 |
1 |
0 |
|a Wiley
|
| 952 |
|
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|a GR-VoPKT
|b 59cc89e16c5ad13446fec11f
|c 998a
|d 945l
|e 006.31 VAP
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| 952 |
|
|
|a GRThAnMak
|b 59cc9d7c6c5ad1344601b3c3
|c 998a
|d 945l
|e 008.31 VAP
|t 2
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|
| 952 |
|
|
|a GR-AtNTU
|b 59cc25326c5ad13446f94306
|c 998a
|d 945l
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