Algebraic Geometry and Statistical Learning Theory (Hardcover)
Sumio Watanabe
- 出版商: Cambridge
- 出版日期: 2009-08-01
- 售價: $2,980
- 貴賓價: 9.5 折 $2,831
- 語言: 英文
- 頁數: 300
- 裝訂: Hardcover
- ISBN: 0521864674
- ISBN-13: 9780521864671
下單後立即進貨 (約1週~2週)
買這商品的人也買了...
-
$340$289 -
$399$339 -
$450$383 -
$474$450 -
$403獨闢蹊徑的編程思維-拿來主義編程
-
$1,430$1,359 -
$1,320$1,254 -
$450$383 -
$234$222 -
$490$417 -
$1,040$988 -
$1,789Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback)
-
$680$537
相關主題
商品描述
Sure to be influential, Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are singular: mixture models, neural networks, HMMs, Bayesian networks, stochastic context-free grammars are major examples. The theory achieved here underpins accurate estimation techniques in the presence of singularities.