Cover Image

Data-variant kernel analysis /

Main Author:	Motai, Yuichi, (Author)
Format:	Book
Language:	English
Series:	Wiley Series on Adaptive and Cognitive Dynamic Systems
Subjects:	Kernel functions. Big data > Mathematics.
Online Access:	http://site.ebrary.com/lib/ucy/Doc?id=11048136

Similar Items

The solution of the k(GV) problem
by: Schmid, Peter, 1941-
Published: (2007)

Kernel methods for remote sensing data analysis /
Published: (2009)

Kernel smoothing /
by: Wand, M. P.
Published: (1995)

The Kernel function and conformal mapping/
by: Bergman, Stefan
Published: (1970)

Reproducing Kernels and their applications/
Published: (1999)

The kernel function and conformal mapping/
by: Bergman, Stefan
Published: (1970)

Theta functions, kernel functions, and Abelian integrals/
by: Hejhal, Dennis A.
Published: (1972)

Kernel functions, analytic torsion and moduli spaces/
by: Fay, John David
Published: (1992)

Order and potential resolvent families of kernels/
by: Cornea, Aurel
Published: (1975)

Kernel methods for pattern analysis
by: Shawe-Taylor, John.
Published: (2004)

Kernels and integral operators for continuous sums of Banach spaces/
by: Schochetman, Irwin E., 1939-
Published: (1978)

Kernel functions and elliptic differential equations in mathematical physics/
by: Bergman, Stefan
Published: (1953)

The H-function with applications in statistics and other disciplines/
by: Mathai, A. M.
Published: (1978)

Hypergeometric functions and their applications/
by: Seaborn, James B.
Published: (1991)

Error analysis of the Bergman kernel method with singular basis functions/
by: Λυτρίδης, Μιχάλης
Published: (2011)

Generalized hypergeometric functions/
by: Dwork, Bernard M.
Published: (1990)

Generatingfunctionology /
by: Wilf, Herbert S., 1931-
Published: (2006)

Higher transcendental functions/
Published: (1953)

Introductory lectures on automorphic forms /
by: Baily, Walter L.,

Distribution of zeros of entire functions/
by: Levin, B. IA.Boris IAkovlevich
Published: (1980)

Scattering theory for automorphic functions/
by: Lax, Peter D.
Published: (1976)

Generalized concavity/
by: Avriel, M.
Published: (1988)

Entire functions of several complex variables/
by: Lelong, Pierre
Published: (1986)

Introduction to the arithmetic theory of automorphic functions/
by: Shimura, Goro, 1930-
Published: (1994)

An introduction to support vector machines: and other kernel-based learning methods/
by: Cristianini, Nello
Published: (2006)

Theory of Bergman spaces/
by: Hedenmalm, Haakan
Published: (2000)

Automorphic forms and Shimura varieties of PGSp (2) /
by: Flicker, Yuval Z. 1955-
Published: (2005)

Positive definite kernels, continuous tensor products, and central limit theorems of probability theory/
by: Parthasarathy, K. R.
Published: (1972)

Kernel methods for pattern analysis
by: Shawe-Taylor, John
Published: (2004)

Least squares support vector machines
Published: (2002)

Bridging the gap between graph edit distance and kernel machines
by: Neuhaus, Michel.
Published: (2007)

Big data : opportunities and challenges.

Gamma exploring Euler's constant /
by: Havil, Julian, 1952-
Published: (2009)

Kernel functions and elliptic differential equations in mathematical physics/
by: Bergman, Stephan
Published: (2005)

Big data? : qualitative approaches to digital research /

Big data for dummies
by: Hurwitz, Judith.
Published: (2013)

The big data-driven business : how to use big data to win customers, beat competitors, and boost profits /
by: Glass, Russell,

Getting started with Greenplum for big data analytics /
by: Gollapudi, Sunila.

Big data analytics with R and Hadoop /
by: Prajapati, Vignesh.

General irreducible Markov chains and non-negative operators/
by: Nummelin, Esa
Published: (1984)

Cannot write session to /tmp/vufind_sessions/sess_0e4rp9no8ovalvn94vji580hg7