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Št. zadetkov: 6
On stratified path sampling of the Thermodynamic Integral: computing Bayes factors for nonlinear dynamical systems models
Mark Girolami
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Bayes factors provide a means of objectively ranking a number of plausible statistical models based on their evidential support. Computing Bayes factors is far from straightforward and methodology based on thermodynamic integration can provide stable estimates of the integrated likelihood. This talk ...
Leto: 2008 Vir: videolectures.net
Kernels and Gaussian Processes
Mark Girolami
Video in druga učna gradiva
Oznake: computer science;machine learning;kernel methods;gaussian processes
Leto: 2007 Vir: videolectures.net
Towards Evidential Inference of Signalling Pathway Topologies
Mark Girolami
Video in druga učna gradiva
Oznake: computer science;bioinformatics
Leto: 2010 Vir: videolectures.net
Diffusions and Geodesic Flows on Manifolds: The Differential Geometry of Markov Chain Monte Carlo
Mark Girolami
Video in druga učna gradiva
Oznake: computer science;machine learning;monte carlo methods;markov processes
Markov Chain Monte Carlo methods provide the most comprehensive set of simulation based tools to enable inference over many classes of statistical models. The complexity of many applications presents an enormous challenge for sampling methods motivating continual innovation in theory, methodology an ...
Leto: 2012 Vir: videolectures.net
Bayesian Data Fusion with Gaussian Process Priors : An Application to Protein Fold Recognition
Mark Girolami
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;gaussian processes
Various emerging quantitative measurement technologies are producing genome, transcriptome and proteome-wide data collections which has motivated the de- velopment of data integration methods within an inferential framework. It has been demonstrated that for certain prediction tasks within computati ...
Leto: 2006 Vir: videolectures.net
PANEL: Experiences in research, teaching, and applications of ML
Colin de la Higuera , Isabelle Guyon , José L. Balcázar , Joaquin Quiñonero Candela , Mark Girolami , Mikaela Keller , Ulrike von Luxburg
Video in druga učna gradiva
Oznake: computer science;machine learning
Leto: 2007 Vir: videolectures.net
Št. zadetkov: 6
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