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Algebraic geometry and statistical learning theory Sumio Watanabe
Publisher: CUP

More specifically, the author uses the resolution of singularities theorem from real algebraic geometry to study statistical learning theory when the parameter space is highly singular. These assumptions are probably something stronger than distribution-independent (e.g. What assumptions are we as humans making that differ from those in learning theory? Shastri Anant R., Element of Differential Topology, CRC, February 2011. Description: Posted by Evgen Aparov . Algebraic geometry and statistical learning theory book download Download Algebraic geometry and statistical learning theory Alan Beardon ;s Algebra and Geometry introduces the . Algebraic Geometry and Statistical Learning Theory, Cambridge University Press 2009. More >>; Zakon Elias, Mathematical Analysis II, Trillia Group 2009. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduat. Watanabe's book lays the foundations for the use of algebraic geometry in statistical learning theory. Statistical Methods, 3rd Edition; Academic Press, January 2011. Intersection of Algebraic Topology/Geometry and Model Theory/Set.