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Boolean: (bicycle AND helmet) OR (head AND protection) (always group AND in parenthesis)
Title: title:(climate change)
Author: author:("bohr niels" OR "bohr n") (avoid only full first name)
Phrase: "water pump control" (does not work with wildcards)
Wildcards: wom?n pharm*

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title:(* AND CLASSIFIED AND *)

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10 items by relevance
1 Report

* CLASSIFIED *

Filippone, Antonino

Year: 1999

Language: English

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2 Report

* CLASSIFIED *

Filippone, Antonino

Year: 1999

Language: English

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odhbpl aemkjgni cf
3 Report

* CLASSIFIED *

Filippone, Antonino

Year: 1999

Language: English

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dioap mcbljh ekf ng
4 Report

* CLASSIFIED *

Filippone, Antonino

Year: 1999

Language: English

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di gbom hplnjkecaf
5 Preprint article

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

Filippone, Maurizio

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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pb monk eailcdfjgh
6 Conference paper

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

Filippone, Maurizio

2014 22nd International Conference on Pattern Recognition — 2014, pp. 614-619

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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dgf eopah jmn cibkl
7 Journal article

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

Bisandu, Desmond Bala; Moulitsas, Irene; Filippone, Salvatore

Neural Computing and Applications — 2022, Volume 34, Issue 11, pp. 8777-8802

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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l mkfpbgcdneio h aj

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