| 000 | 02288nam a22003618i 4500 | ||
|---|---|---|---|
| 001 | CR9780511569920 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160231.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090520s1998||||enk o ||1 0|eng|d | ||
| 020 | _a9780511569920 (ebook) | ||
| 020 | _z9780521652636 (hardback) | ||
| 020 | _z9780521117913 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA76.87 _b.O5 1998 |
| 082 | 0 | 0 |
_a006.3/2 _221 |
| 245 | 0 | 0 |
_aOn-line learning in neural networks / _cedited by David Saad. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c1998. |
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| 300 |
_a1 online resource (x, 398 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
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| 490 | 1 |
_aPublications of the Newton Institute ; _v17 |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aOn-line learning is one of the most powerful and commonly used techniques for training large layered networks and has been used successfully in many real-world applications. Traditional analytical methods have been recently complemented by ones from statistical physics and Bayesian statistics. This powerful combination of analytical methods provides more insight and deeper understanding of existing algorithms and leads to novel and principled proposals for their improvement. This book presents a coherent picture of the state-of-the-art in the theoretical analysis of on-line learning. An introduction relates the subject to other developments in neural networks and explains the overall picture. Surveys by leading experts in the field combine new and established material and enable non-experts to learn more about the techniques and methods used. This book, the first in the area, provides a comprehensive view of the subject and will be welcomed by mathematicians, scientists and engineers, whether in industry or academia. | ||
| 650 | 0 | _aNeural networks (Computer science) | |
| 650 | 0 | _aComputer networks. | |
| 700 | 1 |
_aSaad, David, _eeditor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780521652636 |
| 830 | 0 |
_aPublications of the Newton Institute ; _v17. |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511569920 |
| 999 |
_c517631 _d517629 |
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