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Oznake: computer science;machine learning;bayesian learning;markov processes;gaussian processes;monte carlo methods
We define a copula process which describes the dependencies between arbitrarily many random variables independently of their marginal distributions. As an example, we develop a stochastic volatility model, Gaussian Copula Process Volatility (GCPV), to predict the latent standard deviations of a sequ ...
Leto: 2010 Vir: videolectures.net
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Oznake: computer science;machine learning
We introduce a new structured kernel interpolation (SKI) framework, which generalises and unifies inducing point methods for scalable Gaussian processes (GPs). SKI methods produce kernel approximations for fast computations through kernel interpolation. The SKI framework clarifies how the quality of ...
Leto: 2015 Vir: videolectures.net
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Oznake: computer science;machine learning;deep learning;reinforcement learning;unsupervised learning
Leto: 2018 Vir: videolectures.net
Št. zadetkov: 3
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