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Log-Linear Models, Extensions, and Applications [Hardback]

Edited by , Edited by (Microsoft Research), Edited by (Google Research), Edited by (IBM T. J. Watson Research Center), Edited by (University of Wisconsin-Madison), Edited by (Columbia University), Edited by (University of Washington)
  • Formāts: Hardback, 214 pages, height x width x depth: 254x203x22 mm, 51 color illus.; 102 Illustrations
  • Sērija : Neural Information Processing series
  • Izdošanas datums: 27-Nov-2018
  • Izdevniecība: MIT Press
  • ISBN-10: 0262039508
  • ISBN-13: 9780262039505
Citas grāmatas par šo tēmu:
  • Formāts: Hardback, 214 pages, height x width x depth: 254x203x22 mm, 51 color illus.; 102 Illustrations
  • Sērija : Neural Information Processing series
  • Izdošanas datums: 27-Nov-2018
  • Izdevniecība: MIT Press
  • ISBN-10: 0262039508
  • ISBN-13: 9780262039505
Citas grāmatas par šo tēmu:
Advances in training models with log-linear structures, with topics including variable selection, the geometry of neural nets, and applications.