| 000 | 01743nam a2200445 a 4500 | ||
|---|---|---|---|
| 001 | 0000091546 | ||
| 005 | 20171002054659.0 | ||
| 006 | m u | ||
| 007 | cr cn||||||||| | ||
| 008 | 061012s2007 maua sb 001 0 eng | ||
| 010 | _z 2006033527 | ||
| 015 |
_aGBA713858 _2bnb |
||
| 016 | 7 |
_z013677733 _2Uk |
|
| 020 | _z9780262083607 (hardcover : alk. paper) | ||
| 020 | _z0262083604 (hbk.) | ||
| 035 | _a(CaPaEBR)ebr10173731 | ||
| 035 | _a(OCoLC)123175027 | ||
| 040 |
_aCaPaEBR _cCaPaEBR |
||
| 050 | 1 | 4 |
_aBC177 _b.H377 2007eb |
| 082 | 0 | 4 |
_a161 _222 |
| 100 | 1 | _aHarman, Gilbert. | |
| 245 | 1 | 0 |
_aReliable reasoning _h[electronic resource] : _binduction and statistical learning theory / _cGilbert Harman and Sanjeev Kulkarni. |
| 260 |
_aCambridge, Mass. : _bMIT Press, _cc2007. |
||
| 300 |
_ax, 108 p. : _bill. |
||
| 490 | 1 |
_aThe Jean Nicod lectures ; _v2007 |
|
| 500 | _a"A Bradford book." | ||
| 504 | _aIncludes bibliographical references (p. [99]-104) and index. | ||
| 505 | 0 | _aThe problem of induction -- Induction and VC dimension -- Induction and "simplicity" -- Neural networks, support vector machines, and transduction. | |
| 533 |
_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2013. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries. |
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| 650 | 0 | _aReasoning. | |
| 650 | 0 | _aReliability. | |
| 650 | 0 | _aInduction (Logic) | |
| 650 | 0 | _aComputational learning theory. | |
| 655 | 7 |
_aElectronic books. _2local |
|
| 700 | 1 | _aKulkarni, Sanjeev. | |
| 710 | 2 | _aebrary, Inc. | |
| 830 | 0 |
_aJean Nicod lectures ; _v2007. |
|
| 856 | 4 | 0 |
_uhttp://site.ebrary.com/lib/daystar/Doc?id=10173731 _zAn electronic book accessible through the World Wide Web; click to view |
| 908 | _a170314 | ||
| 942 | 0 | 0 | _cEB |
| 999 |
_c80702 _d80702 |
||