Semi-Supervised Learning with Gaussian Processes

2008 Chinese Conference on Pattern Recognition ◽

10.1109/ccpr.2008.12 ◽

2008 ◽

Cited By ~ 1

Author(s):

Hongwei Li ◽

Yakui Li ◽

Hanqing Lu

Keyword(s):

Supervised Learning ◽

Gaussian Processes

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Spatially adaptive semi-supervised learning with Gaussian processes for hyperspectral data analysis

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.10119 ◽

2011 ◽

Vol 4 (4) ◽

pp. 358-371 ◽

Cited By ~ 8

Author(s):

Goo Jun ◽

Joydeep Ghosh

Keyword(s):

Data Analysis ◽

Supervised Learning ◽

Gaussian Processes ◽

Hyperspectral Data ◽

Spatially Adaptive

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Convolved Multi-output Gaussian Processes for Semi-Supervised Learning

Image Analysis and Processing — ICIAP 2015 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-23231-7_10 ◽

2015 ◽

pp. 109-118 ◽

Cited By ~ 1

Author(s):

Hernán Darío Vargas Cardona ◽

Mauricio A. Álvarez ◽

Álvaro A. Orozco

Keyword(s):

Supervised Learning ◽

Gaussian Processes

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Markov Processes, Gaussian Processes, and Local Times

10.1017/cbo9780511617997 ◽

2006 ◽

Cited By ~ 85

Author(s):

Michael B. Marcus ◽

Jay Rosen

Keyword(s):

Markov Processes ◽

Gaussian Processes ◽

Local Times

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A Supervised Learning Approach for Dynamic Sampling (SLADS) in Raman Hyperspectral Imaging

Electronic Imaging ◽

10.2352/issn.2470-1173.2018.15.coimg-132 ◽

2018 ◽

Vol 2018 (15) ◽

pp. 132-1-1323

Author(s):

Shijie Zhang ◽

Zhengtian Song ◽

G. M. Dilshan P. Godaliyadda ◽

Dong Hye Ye ◽

Atanu Sengupta ◽

...

Keyword(s):

Supervised Learning ◽

Hyperspectral Imaging ◽

Learning Approach ◽

Dynamic Sampling

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Arbitrary Oriented Ship Detection in Optical Remote Sensing Images via Partially Supervised Learning

2020 39th Chinese Control Conference (CCC) ◽

10.23919/ccc50068.2020.9188661 ◽

2020 ◽

Author(s):

Linhao Li ◽

Zhiqiang Zhou ◽

Lingjuan Miao ◽

Junfu Liu ◽

Xiaowu Xiao

Keyword(s):

Remote Sensing ◽

Supervised Learning ◽

Optical Remote Sensing ◽

Remote Sensing Images ◽

Ship Detection ◽

Partially Supervised Learning

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An IoT Device Identification Method based on Semi-supervised Learning

2020 16th International Conference on Network and Service Management (CNSM) ◽

10.23919/cnsm50824.2020.9269044 ◽

2020 ◽

Author(s):

Linna Fan ◽

Shize Zhang ◽

Yichao Wu ◽

Zhiliang Wang ◽

Chenxin Duan ◽

...

Keyword(s):

Supervised Learning ◽

Device Identification ◽

Identification Method

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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 ◽

And Topology

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Analysing the supervised learning methods for prediction of healthcare data in cloud environment A Survey

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i3.434438 ◽

2018 ◽

Vol 6 (3) ◽

pp. 434-438

Author(s):

N.M. Annigeri ◽

◽

S. Shetty ◽

A.P. Patil ◽

◽

...

Keyword(s):

Supervised Learning ◽

Cloud Environment ◽

Learning Methods ◽

Healthcare Data

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Analysis of Tree Based Supervised Learning Algorithms on Medical Data

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.04.2019.p8817 ◽

2019 ◽

Vol 9 (4) ◽

pp. p8817

Author(s):

Thin Thin Swe

Keyword(s):

Supervised Learning ◽

Learning Algorithms ◽

Medical Data ◽

Supervised Learning Algorithms

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