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010226s1994 maua sb 001 0 eng d |
| 020 |
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|a 9780262276863
|q (ebook)
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| 035 |
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|a (OCoLC)47009798
|z (OCoLC)827012857
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|a N$T
|b eng
|c N$T
|d OCL
|d OCLCQ
|d YDXCP
|d OCLCQ
|d IEEEE
|d OCLCF
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| 100 |
1 |
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|a Kearns, Michael J.
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| 245 |
1 |
3 |
|a An introduction to computational learning theory
|h [elektronický zdroj] /
|c Michael J. Kearns, Umesh V. Vazirani.
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| 260 |
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|a Cambridge, Mass. :
|b MIT Press,
|c c1994.
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| 300 |
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|a 1 online zdroj (xii, 207 p.) :
|b ill.
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| 504 |
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|a Includes bibliographical references (p. [193]-203) and index.
|
| 505 |
0 |
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|a The probably approximately correct learning model -- Occam's razor -- The Vapnik-Chervonenkis dimension -- Weak and strong learning -- Learning in the presence of noise -- Inherent unpredictability -- Reducibility in PAC learning -- Learning finite automata by experimentation -- Appendix: some tools for probabilistic analysis.
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| 506 |
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|a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity
|
| 650 |
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0 |
|a Machine learning.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Algorithms.
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| 650 |
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0 |
|a Neural networks (Computer science)
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| 655 |
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7 |
|a elektronické knihy
|7 fd186907
|2 czenas
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| 655 |
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9 |
|a electronic books
|2 eczenas
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| 700 |
1 |
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|a Vazirani, Umesh Virkumar.
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| 776 |
0 |
8 |
|i Print version:
|a Kearns, Michael J.
|t Introduction to computational learning theory.
|d Cambridge, Mass. : MIT Press, c1994
|z 0262111934
|w (DLC) 94016588
|w (OCoLC)30476515
|
| 856 |
4 |
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|c MITPRESS
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