Št. zadetkov: 34
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
The lectures will introduce the kernel methods approach to pattern analysis through the particular example of support vector machines for classification. The presentation touches on: generalization, optimization, dual representation, kernel design and algorithmic implementations. We then broaden the ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;pattern recognition
Abstract: The lectures will introduce the role of statistics in pattern analysis with a discussion of the difference between pattern significance and pattern stability. We will go on to discuss composite hypothesis testing and the Bonferroni correction. Concentration inequalities will be introduced ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning;kernel methods;support vector machines
The lecture will introduce the PAC Bayes approach to the statistical analysis of learning. After some historical introduction, the key theorems will be covered. We will then consider some applications including for Support Vector Machines and novelty detection. A discussion of the status of the prio ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;data mining;frequent patterns;machine learning;statistical learning
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
events;computer science;computational linguistics;machine translation
prof. John Shawe-Taylor opened the workshop with an introduction to projects and initiatives, namely the OpenCurseWare Consortium, Opencast Community and the TransLectures project, are all involved in the workshop's think-tank and background.
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
We consider kernel learning for one-class Support Vector Machines. We consider a mix of 2- and 1-norms
of the individual weight vector norms allowing control of the sparsity of the resulting kernel combination.
The resulting optimisation can be solved efficiently using a coordinate gradient method. ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;decision support;machine learning;on-line learning
Leto:
2013
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
Leto:
2004
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;support vector machines
Kernel methods have become a standard tool for pattern analysis during the last fifteen years since the introduction of support vector machines. We will introduce the key ideas and indicate how this approach to pattern analysis enables a relatively easy plug and play application of different tools. ...
Leto:
2009
Vir:
videolectures.net