Image from Amazon.com
Image from OpenLibrary
Image from Baker & Taylor
The nature of statistical learning theory/ Vladimir N. Vapnik.
Series: Statistics for engineering and information sciencePublication details: New York: Springer, c2000.Edition: 2nd edDescription: xix, 314 p.: ill.; 24 cmISBN:- 0387987800 (hc. : acid-free paper)
- 9780387987804 (hc. : acid-free paper)
- 006.31 V286n
- 31.73
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Books
|
Castorina Estantes Abertas (Open Shelves) | Livros (Books) | 006.31 V286n 2000 IMPA (Browse shelf(Opens below)) | 1 | Available | 39063000641079 |
Browsing Castorina shelves, Shelving location: Estantes Abertas (Open Shelves), Collection: Livros (Books) Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| 006.31 P972a 1990 IMPA The algorithmic beauty of plants/ | 006.31 S368l 2002 IMPA Learning with kernels: support vector machines, regularization, optimization, and beyond/ | 006.31 S528u 2014 IMPA Understanding machine learning: from theory to algorithms/ | 006.31 V286n 2000 IMPA The nature of statistical learning theory/ | 006.312 K15s 2009 IMPA Scientific data mining: a practical perspective/ | 006.32 A266n 2018 IMPA Neural networks and deep learning: a textbook/ | 006.32 A628d 2001 IMPA Discrete mathematics of neural networks: selected topics/ |
Includes bibliographical references (p. [301]-309) and index.
There are no comments on this title.