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Št. zadetkov: 28
Video in druga učna gradiva
Oznake: events
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: events
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;bioinformatics;machine learning;gaussian processes
Recently, ordinary differential equations (ODEs) have been used to infer the concentration of a single transcription factor (TF) protein from time series expression data of a set of target genes. For instance, this has been applied to uncover the concentration of the p53 protein; see Barenco et al. ...
Leto: 2009 Vir: videolectures.net
Video in druga učna gradiva
Oznake: events
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;medicine
In this talk we will introduce probabilistic approaches to challenges in computational biology and personalized medicine based on Gaussian process models. We will begin the session with an introduction to Gaussian process models, and the focus on potential applications of Gaussian process models to ...
Leto: 2014 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;digital signal processing;machine learning;computational learning theory;deep learning;information theory;mathematics;statistics
In this paper we introduce deep Gaussian process (GP) models. Deep GPs are a deep belief network based on Gaussian process mappings. The data is modeled as the output of a multivariate GP. The inputs to that Gaussian process are then governed by another GP. A single layer model is equivalent t ...
Leto: 2014 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning
Leto: 2007 Vir: videolectures.net
Video in druga učna gradiva
Oznake: mathematics;statistics
This presentation discusses methods for dimensionality reduction.
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;gaussian processes
Manymachine learning task are involvedwith the transfer of information fromone representation to a corresponding representation or tasks where several different observations represent the same underlying phenomenon. A classical algorithm for feature selection using information from multiple sources ...
Leto: 2008 Vir: videolectures.net
Video in druga učna gradiva
Oznake: computer science;machine learning;bayesian learning;statistical learning;principal component analysis
Leto: 2010 Vir: videolectures.net
Št. zadetkov: 28
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