Št. zadetkov: 24
Video in druga učna gradiva
Oznake:
computer science;machine learning
Recent work on collaborative filtering has led to a large number of both scalable and theoretically well founded algorithms. In this paper, we show that collaborative filtering and multitask learning are innately closely connected. In particular, the 'learning the kernel' paradigm in multitask learn ...
Leto:
2010
Vir:
videolectures.net
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;machine learning;linear models
In this introductory course we will discuss how log linear models can be extended to feature space. These log linear models have been studied by statisticians for a long time under the name of exponential family of probability distributions. We provide a unified framework which can be used to view m ...
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
The tutorial will introduce the main ideas of statistical learning
theory, support vector machines, and kernel feature spaces.
This includes a derivation of the support vector optimization
problem for classification and regression, the v-trick,
various kernels and an overview over applications o ...
Leto:
2008
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;graphical models
The ability to evaluate nonlinear function
classes rapidly is crucial for nonparametric
estimation. We propose an improvement to
random kitchen sinks that offers O(n log d)
computation and O(n) storage for n basis
functions in d dimensions without sacrificing
accuracy. We show how one may adjust the ...
Leto:
2012
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;statistical learning
Leto:
2006
Vir:
videolectures.net
Video in druga učna gradiva
Oznake:
computer science;machine learning;kernel methods;multiple kernel learning
Leto:
2008
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