000 | 01148cam a2200265 i 4500 | ||
---|---|---|---|
005 | 20160318123556.0 | ||
008 | 120201s2009 fluabd sb 000 0 eng|d | ||
020 | _a9788126552023 | ||
020 | _a9781439808085 (ebook) | ||
041 | _aeng | ||
082 | 0 | 4 |
_a006.31 _bKAN |
100 | 1 |
_aKanevski, Mikhail, _99771 |
|
245 | 1 | 0 |
_aMachine learning for spatial environmental data : _btheory, applications and software _cMikhail Kanevski, Alexei Pozdnoukhov and Vadim Timonin. |
250 | _aFirst edition. | ||
260 |
_aNew Delhi _bWiley india pvt _c2014 |
||
300 |
_axi, 309p.; _ehbk |
||
490 | 1 | _aEnvironmental sciences | |
505 | 0 | _ach. 1. Learning from geospatial data -- ch. 2. Exploratory spatial data analysis : presentation of data and case studies -- ch. 3. Geostatistics -- ch. 4. Artificial neural networks -- ch. 5. Support vector machines and kernel methods. | |
650 | 0 |
_aMachine learning. _99772 |
|
700 | 1 |
_aPozdnoukhov, Alexei, _99773 |
|
700 | 1 |
_aTimonin, Vadim, _99774 |
|
856 | 4 | 0 | _uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio9260333.001 |
856 | 4 | 0 | _uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio9260333.002 |
942 | _cBK | ||
999 |
_c30147 _d30147 |