Robust Variational Learning for Multiclass Kernel Models with Stein Refinement

IEEE Transactions on Knowledge and Data Engineering ◽

10.1109/tkde.2020.3041509 ◽

2020 ◽

pp. 1-1

Author(s):

Khanh Nguyen ◽

Trung Le ◽

Tu Nguyen ◽

Geoffrey Webb ◽

Dinh Phung

Keyword(s):

Kernel Models ◽

Variational Learning

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Variational learning from implicit bandit feedback

Machine Learning ◽

10.1007/s10994-021-06028-0 ◽

2021 ◽

Author(s):

Quoc-Tuan Truong ◽

Hady W. Lauw

Keyword(s):

Variational Learning

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Variational learning for Generalized Associative Functional Networks in modeling dynamic process of plant growth

Ecological Informatics ◽

10.1016/j.ecoinf.2009.06.004 ◽

2009 ◽

Vol 4 (3) ◽

pp. 163-176 ◽

Author(s):

Han-Bing Qu ◽

Bao-Gang Hu

Keyword(s):

Plant Growth ◽

Dynamic Process ◽

Functional Networks ◽

Variational Learning

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Variational Learning of the Mixture of Shifted-Scaled Dirichlet Distributions via Entropy Splitting

10.1109/isncc52172.2021.9615829 ◽

2021 ◽

Author(s):

Ahmed Rebei ◽

Oumayma Dalhoumi ◽

Narges Manouchehri ◽

Ali Baghdadi ◽

Manar Amayri ◽

...

Keyword(s):

Dirichlet Distributions ◽

Variational Learning

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A Sparse Online Approach for Streaming Data Classification via Prototype-Based Kernel Models

Neural Processing Letters ◽

10.1007/s11063-021-10701-9 ◽

2022 ◽

Author(s):

David N. Coelho ◽

Guilherme A. Barreto

Keyword(s):

Data Classification ◽

Streaming Data ◽

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Variational Learning in Graphical Models and Neural Networks

ICANN 98 - Perspectives in Neural Computing ◽

10.1007/978-1-4471-1599-1_2 ◽

1998 ◽

pp. 13-22 ◽

Author(s):

Christopher M. Bishop

Keyword(s):

Neural Networks ◽

Graphical Models ◽

Variational Learning

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Variational Learning for Finite Generalized Inverted Dirichlet Mixture Models with a Component Splitting Approach

2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2019.8781300 ◽

2019 ◽

Author(s):

Kamal Maanicshah ◽

Nizar Bouguila ◽

Wentao Fan

Keyword(s):

Mixture Models ◽

Dirichlet Mixture ◽

Inverted Dirichlet ◽

Variational Learning

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Comparison of the predictions of Langevin Dynamics-based diffusion charging collision kernel models with canonical experiments

Journal of Aerosol Science ◽

10.1016/j.jaerosci.2019.105481 ◽

2020 ◽

Vol 140 ◽

pp. 105481 ◽

Author(s):

Li Li ◽

Harjindar Singh Chahl ◽

Ranganathan Gopalakrishnan

Keyword(s):

Langevin Dynamics ◽

Collision Kernel ◽

Kernel Models ◽

Diffusion Charging

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Evaluating the choice behaviour of high-speed rail passengers in Italy: a latent class structure with alternative kernel models to the Multinomial Logit

2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) ◽

10.1109/eeeic/icpseurope49358.2020.9160556 ◽

2020 ◽

Author(s):

Fiore Tinessa ◽

Fulvio Simonelli ◽

Vittorio Marzano ◽

Ciro Buonocore

Keyword(s):

Latent Class ◽

Multinomial Logit ◽

Class Structure ◽

Choice Behaviour ◽

High Speed Rail ◽

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Online Variational Learning for Medical Image Data Clustering

Unsupervised and Semi-Supervised Learning - Mixture Models and Applications ◽

10.1007/978-3-030-23876-6_11 ◽

2019 ◽

pp. 235-269

Author(s):

Meeta Kalra ◽

Michael Osadebey ◽

Nizar Bouguila ◽

Marius Pedersen ◽

Wentao Fan

Keyword(s):

Data Clustering ◽

Medical Image ◽

Medical Image Data ◽

Variational Learning

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On assoclative motor learning by the cerebellar cortex: From Purkinje unit to network with variational learning rules

Mathematical Biosciences ◽

10.1016/0025-5564(94)00042-x ◽

1995 ◽

Vol 126 (1) ◽

pp. 41-79 ◽

Author(s):

G.A. Chauvet

Keyword(s):

Motor Learning ◽

Cerebellar Cortex ◽

Learning Rules ◽

Variational Learning

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