Research Scientist - ROMAIN THIBAUX
BackGoogle Tech Talks June, 11 2008 Title: "Levy Processes and Applications to Machine Learning" ABSTRACT: Nonparametric Bayesian methods are a generalization of probabilistic models where the prior distribution can be a stochastic process, a distribution over a possibly uncountably infinite number of random variables. The great flexibility of these methods has led to applications in natural language processing, machine vision, computational biology and other fields. I will introduce Levy processes, which generalize several of these methods. Levy processes are random measures that give independent mass to independent increments. As an example I will show how they can be used to model various types of data such as binary vectors or vectors of counts, with applications to text and images. These techniques are related to the better known Dirichlet process. Speaker: Research Scientist - ROMAIN THIBAUX
Channel: People & Blogs
Uploaded: June 13, 2008 at 2:06 am
Author: googletechtalks
Length: 0:58:24
Rating: 2.80
Views: 2,070
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Video Comments:
xutonyhan (Friday 13th of June 2008 07:46:50 PM)
This talk sucks
exactspace (Sunday 15th of June 2008 03:45:53 PM)
Enjoy your ban. It's against the rules to troll on tech talks.
ilikebachrobinlee (Friday 13th of June 2008 03:58:48 AM)
Great!