|
|
|
|
| LEADER |
00000nam a22000007a 4500 |
| 003 |
UV# |
| 005 |
20220314182237.0 |
| 008 |
210322s2020 sz ad||| b||| 001 0 eng d |
| 999 |
|
|
|c 350424
|d 350423
|
| 020 |
|
|
|a 9783030407933
|
| 020 |
|
|
|a 3030407934
|
| 040 |
|
|
|a UV#
|b spa
|e rda
|c UV#
|
| 041 |
0 |
|
|a eng
|
| 050 |
|
4 |
|a Q325.5
|b F42 2020
|
| 082 |
0 |
4 |
|a 006.31
|2 20
|
| 245 |
0 |
0 |
|a Feature learning and understanding :
|b algorithms and applications /
|c Haitao Zhao [y otros tres].
|
| 264 |
|
1 |
|a Cham, Switzerland :
|b Springer,
|c [2020].
|
| 264 |
|
4 |
|c ©2020
|
| 300 |
|
|
|a xiv, 291 páginas :
|b ilustraciones en color, gráficas en color ;
|c 24 cm.
|
| 336 |
|
|
|2 rdacontent
|a texto
|
| 337 |
|
|
|2 rdamedia
|a sin mediación
|
| 338 |
|
|
|2 rdacarrier
|a volumen
|
| 490 |
0 |
|
|a Information fusion and data science
|
| 504 |
|
|
|a Incluye bibliografía (páginas277-288) e índice.
|
| 505 |
0 |
|
|a 1. A Gentle Introduction to Feature Learning -- 2. Latent Semantic Feature Learning -- 3. Principal Component Analysis -- 4. Local-Geometrical-Structure-based Feature Learning -- 5. Linear Discriminant Analysis -- 6. Kernel-based nonlinear feature learning -- 7. Sparse feature learning -- 8. Low rank feature learning -- 9. Tensor-based Feature Learning -- 10. Neural-network-based Feature Learning: Autoencoder -- 11. Neural-network-based Feature Learning: Convolutional Neural Network -- 12. Neural-network-based Feature Learning: Recurrent Neural Network.
|
| 650 |
|
4 |
|9 360464
|a Aprendizaje automático (Inteligencia artificial)
|
| 650 |
|
4 |
|9 427998
|a Big data
|
| 700 |
1 |
|
|9 453411
|a Zhao, Haitao,
|d 1986-
|e autor
|
| 942 |
|
|
|2 lcc
|c LIBRO
|
