Cristiano Cervellera

◀ ▶ joint publications with Roberto Marcialis

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Publications

2015
[c15]
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Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Lattice point sets for efficient kernel smoothing models. IJCNN 2015: 1-8
[c14]
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Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Efficient use of Nadaraya-Watson models and low-discrepancy sequences for approximate dynamic programming. IJCNN 2015: 1-8
2014
[c12]
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Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
An approach to exploit non-optimized data for efficient control of unknown systems through neural and kernel models. IJCNN 2014: 1856-1863
[c11]
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Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Lattice sampling for efficient learning with Nadaraya-Watson local models. IJCNN 2014: 1915-1922
2013
[c10]
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Cristiano Cervellera, Mauro Gaggero, Danilo Macciò, Roberto Marcialis:
Quasi-random sampling for approximate dynamic programming. IJCNN 2013: 1-8
[c9]
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Cristiano Cervellera, Danilo Macciò, Roberto Marcialis:
Function learning with local linear regression models: An analysis based on discrepancy. IJCNN 2013: 1-8

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