Algebraic Geometry and Statistical Learning Theory
by Sumio Watanabe (9780521864671)

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.

USD $83.00

   Dispatch: 3 to 7 business days, stock levels permitting