Twin minimax probability machine for pattern classification

Neural Networks ◽

10.1016/j.neunet.2020.07.030 ◽

2020 ◽

Vol 131 ◽

pp. 201-214

Author(s):

Liming Yang ◽

Yakun Wen ◽

Min Zhang ◽

Xue Wang

Keyword(s):

Pattern Classification ◽

Minimax Probability Machine

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Regularized twin minimax probability machine for pattern classification and regression

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104550 ◽

2022 ◽

Vol 107 ◽

pp. 104550

Author(s):

Jun Ma ◽

Guolin Yu

Keyword(s):

Pattern Classification ◽

Classification And Regression ◽

Minimax Probability Machine

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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 ◽

Cited By ~ 2

Author(s):

W. Banzhaf

Keyword(s):

Dynamical System ◽

Pattern Classification

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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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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 ◽

Network States

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Feature Extraction and Pattern Classification Based on Bayesian Decision Boundaries

10.21528/cbrn2001-053 ◽

2016 ◽

Author(s):

Lee Luan Ling ◽

Hugo Mauro Cavalcanti

Keyword(s):

Feature Extraction ◽

Pattern Classification ◽

Bayesian Decision ◽

Decision Boundaries

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Semi-supervised Pattern Classification Using Optimum-Path Forest

2014 27th SIBGRAPI Conference on Graphics, Patterns and Images ◽

10.1109/sibgrapi.2014.45 ◽

2014 ◽

Cited By ~ 5

Author(s):

Willian Paraguassu Amorim ◽

Alexandre Xavier Falcao ◽

Marcelo Henriques de Carvalho

Keyword(s):

Pattern Classification ◽

Optimum Path

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Deep learning adapted to differential neural networks used as pattern classification of electrophysiological signals

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2021.3066996 ◽

2021 ◽

pp. 1-1

Author(s):

Dusthon Llorente ◽

Mariana Ballesteros ◽

Ivan DE JESUS Salgado Ramos ◽

Jorge Isaac Chairez Oria

Keyword(s):

Neural Networks ◽

Deep Learning ◽

Pattern Classification ◽

Electrophysiological Signals

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Autonomous EBSD Pattern Classification Performance with Changing Acquisition Parameters

Microscopy and Microanalysis ◽

10.1017/s1431927621008886 ◽

2021 ◽

Vol 27 (S1) ◽

pp. 2490-2493

Author(s):

Kevin Kaufmann ◽

Kenneth Vecchio

Keyword(s):

Pattern Classification ◽

Classification Performance ◽

Ebsd Pattern

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