| 000 | 00902 a2200301 4500 | ||
|---|---|---|---|
| 001 | 10238 | ||
| 999 |
_c10238 _d15393 |
||
| 003 | TR-AnTOB | ||
| 005 | 20200427144432.0 | ||
| 008 | 110622s2004 njua b 001 0 d | ||
| 010 | _a2004296044 | ||
| 020 | _a0130125342 | ||
| 035 | _a(OCoLC)ocm52534097 | ||
| 040 |
_aMUU _cMUU _dDLC |
||
| 041 | _aeng | ||
| 042 | _alccopycat | ||
| 050 |
_aQA279.5 _b.N436 2004 |
||
| 090 | _aQA279.5 .N436 2004 | ||
| 100 |
_aNeapolitan, Richard E. _9736 |
||
| 245 | 0 |
_aLearning Bayesian networks / _cRichard E. Neapolitan. |
|
| 264 | 1 |
_aUpper Saddle River, N.J. : _bPearson Prentice Hall, _cc2004. |
|
| 300 |
_axv, 674 p. : _bill. ; _c24 cm. |
||
| 504 | _aIncludes bibliographical references (p. 647-666) and index. | ||
| 650 |
_aNeural networks (Computer science) _9737 |
||
| 650 |
_aMachine learning _9738 |
||
| 650 |
_aBayesian statistical decision theory _9739 |
||
| 902 | _a0000191 | ||
| 942 | _cBK | ||