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Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble
  Classifier Aggregation and Its Application in Brain-Computer Interface

Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface

12 May 2018
Dongrui Wu
Vernon J. Lawhern
Stephen M. Gordon
Brent Lance
Chin-Teng Lin
ArXivPDFHTML

Papers citing "Agreement Rate Initialized Maximum Likelihood Estimator for Ensemble Classifier Aggregation and Its Application in Brain-Computer Interface"

5 / 5 papers shown
Title
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort
  Using Active Weighted Adaptation Regularization
Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization
Dongrui Wu
Vernon J. Lawhern
David Hairston
Brent Lance
30
63
0
09 Feb 2017
A Deep Learning Approach to Unsupervised Ensemble Learning
A Deep Learning Approach to Unsupervised Ensemble Learning
Uri Shaham
Xiuyuan Cheng
Omer Dror
Ariel Jaffe
B. Nadler
Joseph T. Chang
Y. Kluger
UQCV
52
35
0
06 Feb 2016
Unsupervised Ensemble Learning with Dependent Classifiers
Unsupervised Ensemble Learning with Dependent Classifiers
Ariel Jaffe
Ethan Fetaya
B. Nadler
Tingting Jiang
Y. Kluger
UQCV
33
44
0
20 Oct 2015
Estimating the Accuracies of Multiple Classifiers Without Labeled Data
Estimating the Accuracies of Multiple Classifiers Without Labeled Data
Ariel Jaffe
B. Nadler
Y. Kluger
63
68
0
29 Jul 2014
Ranking and combining multiple predictors without labeled data
Ranking and combining multiple predictors without labeled data
Fabio Parisi
Francesco Strino
B. Nadler
Y. Kluger
88
135
0
13 Mar 2013
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