Pattern Classification with Gaussian Processes

Pattern Recognition and Big Data ◽

10.1142/9789813144552_0002 ◽

2016 ◽

pp. 37-73

Author(s):

Vassilios Stathopoulos ◽

Mark Girolami

Keyword(s):

Pattern Classification ◽

Gaussian Processes

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Scalable Hierarchical Mixture of Gaussian Processes for Pattern Classification

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8461590 ◽

2018 ◽

Author(s):

T. N. A. Nguyen ◽

A. Bouserdoum ◽

S. L. Phung

Keyword(s):

Pattern Classification ◽

Gaussian Processes ◽

Mixture Of Gaussian

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Markov Processes, Gaussian Processes, and Local Times

10.1017/cbo9780511617997 ◽

2006 ◽

Author(s):

Michael B. Marcus ◽

Jay Rosen

Keyword(s):

Markov Processes ◽

Gaussian Processes ◽

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Detecting Semantic Versus Episodic Memory Retrieval via fMRI Pattern Classification

PsycEXTRA Dataset ◽

10.1037/e527342012-512 ◽

2007 ◽

Author(s):

Per B. Sederberg ◽

Kenneth A. Norman

Keyword(s):

Episodic Memory ◽

Pattern Classification ◽

Memory Retrieval

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Spontaneous pattern classification by a dynamical system

Journal de Physique ◽

10.1051/jphys:0198700480120202700 ◽

1987 ◽

Vol 48 (12) ◽

pp. 2027-2035 ◽

Author(s):

W. Banzhaf

Keyword(s):

Dynamical System ◽

Pattern Classification

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Constrained Clustering using Gaussian Processes

2020 28th European Signal Processing Conference (EUSIPCO) ◽

10.23919/eusipco47968.2020.9287331 ◽

2021 ◽

Author(s):

Panagiotis A. Traganitis ◽

Georgios B. Giannakis

Keyword(s):

Gaussian Processes ◽

Constrained Clustering

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Shape and Topology Optimization in Computational Fluid Dynamics Including Heat Transfer Using Gaussian Processes and Adjoint Methods

AIAA Scitech 2021 Forum ◽

10.2514/6.2021-1892 ◽

2021 ◽

Author(s):

Robert Sandboge ◽

Dimitrios Papadimitriou ◽

Mahender Reddy

Keyword(s):

Heat Transfer ◽

Fluid Dynamics ◽

Computational Fluid Dynamics ◽

Topology Optimization ◽

Gaussian Processes ◽

Adjoint Methods ◽

Shape And Topology Optimization ◽

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Neural Networks Pattern Classification For Certainty In Measurement of Position and Momentum With Heisenberg Uncertainty Principle

Journal of Advances and Scholarly Researches in Allied Education ◽

10.29070/15/57935 ◽

2018 ◽

Vol 15 (9) ◽

pp. 114-118

Author(s):

Punam . ◽

O. P. Prakash

Keyword(s):

Neural Networks ◽

Pattern Classification ◽

Uncertainty Principle ◽

Heisenberg Uncertainty Principle ◽

Heisenberg Uncertainty

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Gaussian Processes for Natural Language Processing

10.3115/v1/p14-6001 ◽

2014 ◽

Author(s):

Trevor Cohn ◽

Daniel Preotiuc-Pietro ◽

Neil Lawrence

Keyword(s):

Natural Language Processing ◽

Natural Language ◽

Language Processing ◽

Gaussian Processes

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Faculty Opinions recommendation of Large-scale analysis of human alternative protein isoforms: pattern classification and correlation with subcellular localization signals.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1026748.325361 ◽

2005 ◽

Author(s):

Arcady Mushegian

Keyword(s):

Subcellular Localization ◽

Pattern Classification ◽

Large Scale ◽

Protein Isoforms ◽

Scale Analysis ◽

Large Scale Analysis ◽

Alternative Protein

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Faculty Opinions recommendation of Olfactory pattern classification by discrete neuronal network states.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.5229957.5176057 ◽

2010 ◽

Author(s):

Edvard I Moser ◽

Lisa Giocomo

Keyword(s):

Pattern Classification ◽

Neuronal Network ◽

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