| 000 | 01569nam a2200361Ia 4500 | ||
|---|---|---|---|
| 001 | EFP0NE10026PDF | ||
| 003 | FlBoTFG | ||
| 005 | 20120525154014.0 | ||
| 006 | a|||||s||||||||||| | ||
| 007 | cr|||| | ||
| 008 | 110705s2009 fluabd sb 000 0 eng d | ||
| 020 | _a9781439808085 (ebook : PDF) | ||
| 040 |
_aFlBoTFG _cFlBoTFG |
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| 090 |
_aQ325.5 _b.K36 2009 |
||
| 092 |
_a006.31 _bK163 |
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| 100 | 1 | _aKanevski, Mikhail. | |
| 245 | 1 | 0 |
_aMachine learning for spatial environmental data _h[electronic resource] : _btheory, applications and software / _cMikhail Kanevski, Alexei Pozdnoukhov and Vadim Timonin. |
| 250 | _a1st ed. | ||
| 260 |
_aBoca Raton, Fla. : _bCRC Press, _c2009. |
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| 300 |
_axii, 400 p. : _bill. (some col.), col. maps. |
||
| 490 | 1 | _aEnvironmental sciences | |
| 504 | _aIncludes bibliographical references (p. [347]-371). | ||
| 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. | |
| 530 | _aAlso available in print edition. | ||
| 538 | _aMode of access: World Wide Web. | ||
| 650 | 0 | _aMachine learning. | |
| 655 | 7 |
_aElectronic books. _2lcsh |
|
| 700 | 1 | _aPozdnoukhov, Alexei. | |
| 700 | 1 | _aTimonin, Vadim. | |
| 776 | 1 | _z9780849382376 | |
| 830 | 0 | _aEnvironmental sciences. | |
| 856 | 4 | 0 |
_uhttp://marc.crcnetbase.com/isbn/9781439808085 _qapplication/PDF _zDistributed by publisher. Purchase or institutional license may be required for access. |
| 999 |
_c332058 _d331994 |
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