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Interpreted as:

title:(* AND CLASSIFIED AND *)

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1 Report

* CLASSIFIED *

Year: 1999

Language: English

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2 Report

* CLASSIFIED *

Year: 1999

Language: English

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3 Report

* CLASSIFIED *

Year: 1999

Language: English

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4 Report

* CLASSIFIED *

Year: 1999

Language: English

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5 Preprint article

Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC

Kernel methods have revolutionized the fields of pattern recognition and machine learning. Their success, however, critically depends on the choice of kernel parameters. Using Gaussian process (GP) classification as a working example, this paper focuses on Bayesian inference of covariance (kernel) parameters using Markov chain Monte Carlo (MCMC) methods. The motivation is that, compared to stan...

Year: 2014

Language: Undetermined

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6 Conference paper

Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC

Kernel methods have revolutionized the fields of pattern recognition and machine learning. Their success, however, critically depends on the choice of kernel parameters. Using Gaussian process (GP) classification as a working example, this paper focuses on Bayesian inference of covariance (kernel) parameters using Markov chain Monte Carlo (MCMC) methods. The motivation is that, compared to stan...

Year: 2014

Language: English

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7 Journal article

Social ski driver conditional autoregressive-based deep learning classifier for flight delay prediction

The importance of robust flight delay prediction has recently increased in the air transportation industry. This industry seeks alternative methods and technologies for more robust flight delay prediction because of its significance for all stakeholders. The most affected are airlines that suffer from monetary and passenger loyalty losses. Several studies have attempted to analysed and solve fl...

Year: 2022

Language: English

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