Algebraic Geometry and Statistical Learning Theory

Autor*innen

• Sumio Watanabe

Parameter

• 300 Seiten
• 11 Lesestunden

• Computer & Internet
• Lehrbücher
• Sachliteratur
• Wissenschaft
• Wissenschaft und Mathematik

Mehr zum Buch

Sure to be influential, Watanabe’s book lays the foundations for the use of algebraic geometry in statistical learning theory. Many models/machines are 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.

• Sprache: Englisch
• Erscheinungsdatum: 2008
• Einband: Hardcover