Personal tools
You are here: Home

Search results

Did you not find what you were looking for? Try the Advanced Search for more precise search options.

837 items matching your criteria. RSS Feed
Combining Support Vector and Mathematical Programming Methods for Induction [1%] by admin, 2007-01-31 11:07
Geometry and Invariance in Kernel Based Methods [1%] by admin, 2007-01-31 11:07
Bayesian Voting Schemes and Large Margin Classifiers [1%] by admin, 2007-01-31 11:07
Making Large–Scale SVM Learning Practical [1%] by admin, 2007-01-31 11:07
Solving the Quadratic Programming problem arising in Support Vector classification [1%] by admin, 2007-01-31 11:07
Pairwise Classification and Support Vector Machines [1%] by admin, 2007-01-31 11:07
Support Vector Machines for Dynamic Reconstruction of a Chaotic System [1%] by admin, 2007-01-31 11:07
Predicting Time Series with Support Vector Machines [1%] by admin, 2007-01-31 11:07
SV regression with epsilon-insensitive and Huber loss functions. Experimental results on time-series prediction (Mackey-Glass and Santa Fe competition ...
On the Annealed VC Entropy for Margin Classifiers: A Statistical Mechanics Study [1%] by admin, 2007-01-31 11:07
Reducing the Run-time Complexity in Support Vector Regression [1%] by admin, 2007-01-31 11:07
Fast Training of Support Vector Machines using Sequential Minimal Optimization [1%] by admin, 2007-01-31 11:07
Kernel Principal Component Analysis [1%] by admin, 2007-01-31 11:07
Support Vector Regression with ANOVA Decomposition Kernels [1%] by admin, 2007-01-31 11:07
Three Remarks on the Support Vector Method of Function Estimation [1%] by admin, 2007-01-31 11:07
Support Vector Machines, Reproducing Kernel Hilbert Spaces and the Randomized GACV [1%] by admin, 2007-01-31 11:07
Support Vector Density Estimation [1%] by admin, 2007-01-31 11:07
Entropy numbers, operators and support vector kernels [1%] by admin, 2007-01-31 11:07
Pattern Recognition using Generalized Portrait Method [1%] by admin, 2007-01-31 11:07
This is the first paper on Support Vector type algorithms.
Linear and Nonlinear Separation of Patterns by Linear Programming [1%] by admin, 2007-01-31 11:07
Linear and nonlinear separation of two point sets in n-dimensional space is formulated as a linear programming problem, whenever the nonlinear ...
Multi-Surface Method of Pattern Separation [1%] by admin, 2007-01-31 11:07
Two point sets in n-dimensional space are separated by a sequence of parallel planes. Each pair of planes separates portions of the two sets while ...
A correspondence between Bayesan estimation on stochastic processes and smoothing by splines [1%] by admin, 2007-01-31 11:07
Some results on Tchebycheffian spline functions. [1%] by admin, 2007-01-31 11:07
Kimeldorf and Wahba's Lemma 6.1 on variational problems in reproducing kernel spaces with linear inequality constraints is highly relevant to modern ...
A note on one class of perceptrons [1%] by admin, 2007-01-31 11:07
Theory of Pattern Recognition [in Russian] [1%] by admin, 2007-01-31 11:07
In these two books, the original "Generalized Portrait" Algorithm for constructing separating hyperplanes with optimal margin is described.
Spline Models for Observational Data [1%] by admin, 2007-01-31 11:07
This book is about mostly multivariate function estimation in reproducing kernel Hilbert spaces. Sections 9.4 and 9.5 on inequality constraints are ...
A Training Algorithm for Optimal Margin Classifiers [1%] by admin, 2007-01-31 11:07
A training algorithm that maximizes the margin between the training patterns and the decision boundary is presented. The technique is applicable to a ...
Robust Linear Programming Discrimination of Two Linearly Inseparable Sets [1%] by admin, 2007-01-31 11:07
First occurence of the soft margin loss function.
Automatic Capacity Tuning of Very Large VC-Dimension Classifiers [1%] by admin, 2007-01-31 11:07
Large VC-dimension classifiers can learn difficult tasks, but are usually impractical because they generalize well only if they are trained with huge ...
Writer adaptation for on-line handwritten character recognition. [1%] by admin, 2007-01-31 11:07
A TDNN without its last layer serves as a preprocessor to an SVM classifier, that is retrained to peculiar writing styles. This combination allows for ...
Support Vector Networks [1%] by admin, 2007-01-31 11:07
In this paper, the optimal margin algorithm is generalized to non-separable problems by the introduction of slack variables in the statement of the ...

Powered by Plone CMS, the Open Source Content Management System