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LEADER 01266cam 2200337 a 4500

005 20141212122425.0;

008 960517s1996 nyua b 001 0 eng ;

010 a| 96022079;

020 a| 0387947248 (softcover : alk. paper);

035 a| (Sirsi) o34894370;

035 a| (OCoLC)34894370;

040 a| DLCc| DLCd| EREd| UtOrBLW;

049 a| EREE;

050 00 a| QA279.5b| .N43 1996;

082 00 a| 006.32| 20;

100 1 a| Neal, Radford M.=| ^A381289;

245 10 a| Bayesian learning for neural networks /c| Radford M. Neal.;

260 a| New York :b| Springer,c| 1996.;

300 a| xi, 183 pages :b| illustrations ;c| 24 cm.;

336 a| text2| rdacontent;

337 a| unmediated2| rdamedia;

338 a| volume2| rdacarrier;

490 1 a| Lecture notes in statistics ;v| 118;

504 a| Includes bibliographical references and index.;

650 0 a| Bayesian statistical decision theory.=| ^A20878;

650 0 a| Machine learning.=| ^A145211;

650 0 a| Neural networks (Computer science)=| ^A263002;

830 0 a| Lecture notes in statistics (Springer-Verlag) ;v| v. 118.=| ^A162590;

596 a| 1;

998 a| 602520;

999 a| QA279.5 .N43 1996w| LCc| 1i| 30372009800860d| 4/4/2013e| 11/11/1999f| 4/4/2013g| 1l| JGESm| JOYNERn| 1r| Ys| Yt| JGESBKu| 10/17/1996x| BOOKz| JSTACKSo| .STAFF. 0;

Bayesian learning for neural networks / Radford M. Neal.

Author/creator	Neal, Radford M.
Format	Book
Publication Info	New York : Springer, 1996.
Description	xi, 183 pages : illustrations ; 24 cm.
Subjects	Bayesian statistical decision theory. Machine learning. Neural networks (Computer science)

Series	Lecture notes in statistics ; 118 Lecture notes in statistics (Springer-Verlag) ; v. 118. ^A162590
Bibliography note	Includes bibliographical references and index.
LCCN	96022079
ISBN	0387947248 (softcover : alk. paper)

Bayesian learning for neural networks / Radford M. Neal.

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