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
An Introduction to Kernel Methods. [1%] by admin, 2007-01-31 11:08
Kernel methods give a systematic and principled approach to training learning machines and the good generalisation performance achieved can be readily ...
Algorithmic Approaches to Training Support Vector Machnies: A Survey [1%] by admin, 2007-01-31 11:08
Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classification, regression or novelty ...
Multiplicative Updatings for Support Vector Machines [1%] by admin, 2007-01-31 11:08
Support Vector Machines find maximal margin hyperplanes in a high dimensional feature space, represented as a sparse linear combination of training ...
Dynamically Adapting Kernels in Support Vector Machines. [1%] by admin, 2007-01-31 11:08
The kernel-parameter is one of the few tunable parameters in Support Vector machines, controlling the complexity of the resulting hypothesis. Its ...
An Introduction to Model Building with Reproducing Kernel Hilbert Spaces [1%] by admin, 2007-01-31 11:08
Notes for a shortcourse given at Interface 2000. We assume no knowledge of reproducing kernel Hilbert spaces, but review some basic concepts, with a ...
Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification [1%] by admin, 2007-01-31 11:08
Gaussian processes are a natural way of defining prior distributions over functions of one or more input variables. In a simple nonparametric ...
Regression and classification using Gaussian process priors (with discussion) [1%] by admin, 2007-01-31 11:08
Gaussian processes are a natural way of specifying prior distributions over functions of one or more input variables. When such a function defines the ...
Text Categorization with Support Vector Machines: Learning with Many Relevant Features [1%] by admin, 2007-01-31 11:08
Transductive Inference for Text Classification using Support Vector Machines [1%] by admin, 2007-01-31 11:08
Detecting Concept Drift with Support Vector Machines [1%] by admin, 2007-01-31 11:08
Aktuelles Schlagwort: Support Vector Machines [1%] by admin, 2007-01-31 11:08
Estimating the Generalization Performance of a SVM Efficiently [1%] by admin, 2007-01-31 11:08
Development of Adaptive, Online Soft Sensors [1%] by admin, 2007-01-31 11:08
Regularization Networks and Support Vector Machines [1%] by admin, 2007-01-31 11:08
Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples – in particular the ...
Support Vector Machine Classification of Microarray Data [1%] by admin, 2007-01-31 11:08
An effective approach to cancer classification based upon gene expression monitoring using DNA microarrays was introduced by Golub et. al. The main ...
Classification using Networks of Normalized Radial Basis Functions [1%] by admin, 2007-01-31 11:08
Normalized Radial Basis Function Networks (NRBF) were invented at the same time as standard RBF nets, in 1989, but went unnoticed until recently, when ...
Sparse Least Squares Support Vector Machine Classifiers [1%] by admin, 2007-01-31 11:08
Study and Application of Statistical Learning Theory [1%] by admin, 2007-01-31 11:08
Support Vector Machines for 3-D Object Recognition [1%] by admin, 2007-01-31 11:08
On the noise model of support vector machine regression [1%] by admin, 2007-01-31 11:08
Support Vector Machines: a Large Scale QP [1%] by admin, 2007-01-31 11:08
A Trainable Pedestrian Detection System [1%] by admin, 2007-01-31 11:08
A Pattern Classification Approach to Dynamical Object Detection [1%] by admin, 2007-01-31 11:08
Trainable Pedestrian Detection [1%] by admin, 2007-01-31 11:08
Regularization Networks and Support Vector Machines [1%] by admin, 2007-01-31 11:08
Regularization Networks and Support Vector Machines are techniques for solving certain problems of learning from examples – in particular the ...
On the V-gamma dimension for regression in Reproducing Kernel Hilbert spaces [1%] by admin, 2007-01-31 11:08
This paper presents a computation of the $V_\gamma$ dimension for regression in bounded subspaces of Reproducing Kernel Hilbert Spaces (RKHS) for the ...
Image representations for object detection using kernel classifiers [1%] by admin, 2007-01-31 11:08
This paper presents experimental comparisons of various image representations for object detection using kernel classifiers. In particular it discusses ...
Bounds on the Generalization Performance of Kernel Machines Ensembles [1%] by admin, 2007-01-31 11:08
We study the problem of learning using combinations of machines. In particular we present new theoretical bounds on the generalization performance of ...
Engineering Support Vector Machine Kernels that Recognize Translation Initiation Sites [1%] by admin, 2007-01-31 11:08
The task of finding translation initiation sites can be modeled as a classification problem. We demonstrate the applicability of SVMs for this task, ...
Invariant Feature Extraction and Classification in Kernel Spaces [1%] by admin, 2007-01-31 11:08
We incorporate prior knowledge to construct nonlinear algorithms for invariant feature extraction and discrimination. Employing a unified framework in ...

Powered by Plone CMS, the Open Source Content Management System