Explore Books on
kernel functions
1-24 of 107 Books
KERNEL METHODS FOR PATTERN ANALYSIS
By JOHN SHAWE-TAYLOR,John Shawe-Taylor,Nello Cristianini
Multivariate Kernel Smoothing and Its Applications
Multivariate Kernel Smoothing and Its Applications
By José E. Chacón,Tarn Duong
Land surface temperature measurements from EOS MODIS data
Land surface temperature measurements from EOS MODIS data
By Zhengming Wan
Reproducing kernel Hilbert spaces in probability and statistics
By A. Berlinet,Alain Berlinet,Christine Thomas-Agnan
Kernel based algorithms for mining huge data sets
By Te-Ming Huang
Data-Variant Kernel Analysis
By Wiley,Yuichi Motai
Advances in large margin classifiers
By Alexander J. Smola
Kernel Learning Algorithms For Face Recognition
By Jun-Bao Li
Development of low-frequency kernel-function aerodynamics for comparison with time-dependent finite-difference methods
Development of low-frequency kernel-function aerodynamics for comparison with time-dependent finite-difference methods
By Samuel R. Bland
General irreducible Markov chains and non-negative operators
By Esa Nummelin
Advances in kernel methods
By Alexander J. Smola
Quasi-kernal polynomials and convergance results for quasi-minimal residual iterations
Quasi-kernal polynomials and convergance results for quasi-minimal residual iterations
By Roland W. Freund
Predicting structured data
By Alexander J. Smola,Thomas Hofmann,Bernhard Schölkopf,Ben Taskar
Kernel functions and elliptic differential equations in mathematical physics
By Stefan Bergman
The kernel function and conformal mapping
By Stefan Bergman
Introduction to the Theory of Reproducing Kernel Hilbert Spaces
Introduction to the Theory of Reproducing Kernel Hilbert Spaces
By Vern I. Paulsen,Mrinal Raghupathi
Kernel methods in computational biology
By Bernhard Schölkopf,Koji Tsuda
A reduced order model of the linearized incompressible Navier-Strokes equations for the sensor/actuator placement problem
A reduced order model of the linearized incompressible Navier-Strokes equations for the sensor/actuator placement problem
By Brian G. Allan
Learning theory and Kernel machines
By Conference on Computational Learning Theory (16th 2003 Washington, D.C.)
Theory of reproducing kernels and its applications
Theory of reproducing kernels and its applications
By Saburou Saitoh
Development of low-frequency kernel-function aerodynamics for comparison with time-dependent finite-difference methods
Development of low-frequency kernel-function aerodynamics for comparison with time-dependent finite-difference methods
By Samuel R Bland