Št. zadetkov: 24
Video in druga učna gradiva
Oznake:
mathematics;statistics
Reproducing Kernel Hilbert Spaces have been mainly used for estimation. Distributional tests in this area were mainly concerned with tests for independence of random variables. We give concentration of measure bounds for the latter using an easy to compute criterion between spaces of observations. I ...
Leto:
2005
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;computer vision
As a fundamental problem in pattern recognition, graph matching has found a variety of applications in the field of computer vision. In graph matching, patterns are modeled as graphs and pattern recognition amounts to finding a correspondence between the nodes of different graphs. There are many way ...
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning;kernel methods
Leto:
2002
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
Leto:
2003
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;linear models
In this course I will discuss how exponential families, a standard tool in statistics, can be used with great success in machine learning to unify many existing algorithms and to invent novel ones quite effortlessly. In particular, I will show how they can be used in feature space to recover Gaussia ...
Leto:
2004
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
In this short course I will discuss exponential families, density estimation, and conditional estimators such as Gaussian Process classification, regression, and conditional random fields. The key point is that I will be providing a unified view of these estimation methods. In the second part I will ...
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
We unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate maximum entropy estimation is maximum a posteriori estimation. Moreover, our treatment leads to stability and convergence bounds for many statistic ...
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods
This lecture given by Mr. Smola is combined with Mr. Bernhard Schoelkopf and will encopass Part 1, Part 5, Part 6 of the complete lecture. \\ Part 2, 3 and 4 of this lecture can be found here [[mlss07_scholkopf_intkmet|//at Bernhard Schoelkopf's// "%title"]]
Leto:
2007
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;on-line learning
Leto:
2009
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;bayesian learning
Leto:
2011
Vir:
videolectures.net