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Št. zadetkov: 24
Using features of probability distributions to achieve covariate shift
Alexander J. Smola
Video in druga učna gradiva
Oznake: computer science;machine learning;statistical learning
Leto: 2006 Vir: videolectures.net
From collaborative filtering to multitask learning
Alexander J. Smola
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
Mixed Norm Kernels, Hyperkernels and Other Variants
Alexander J. Smola
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;multiple kernel learning
Leto: 2008 Vir: videolectures.net
Nonparametric Tests between Distributions
Alexander J. Smola
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
Learning Graph Matching
Alexander J. Smola
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
Bayesian Kernel Methods
Alexander J. Smola
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;kernel methods
Leto: 2002 Vir: videolectures.net
Unsupervised Learning with Kernels
Alexander J. Smola
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods
Leto: 2003 Vir: videolectures.net
Exponential Families in Feature Space
Alexander J. Smola
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
Exponential Families in Feature Space
Alexander J. Smola
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: 2005 Vir: videolectures.net
Exponential Families
Alexander J. Smola
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
Št. zadetkov: 24
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