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Adabook and Multibook: adaptive boosting with chance correction
There has been considerable interest in boosting and bagging, including the combination of the adaptive techniques of AdaBoost with the random selection with replacement techniques of Bagging. At the same time there has ...
A computationally and cognitively plausible model of supervised and unsupervised learning
The issue of chance correction has been discussed for many decades in the context of statistics, psychology and machine learning, with multiple measures being shown to have desirable properties, including various definitions ...
Surface Laplacian of Central Scalp Electrical Signals is Insensitive to Muscle Contamination
(IEEE - Institute of Electrical and Electronics, 2013-01)
Abstract—Objective: To investigate the effects of surface Laplacian processing on gross and persistent electromyographic (EMG) contamination of electroencephalographic (EEG) signals in electrical scalp recordings. Methods: ...