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On Effectively Predicting Autism Spectrum Disorder Using an Ensemble of Classifiers
If so, what form of an ensemble of classifiers (also known as multiple classifier learning systems or multiple classifiers) yields the most significant benefits in the size or diversity of the ensemble itself?
Missing Data Prediction and Classification: The Use of Auto-Associative Neural Networks and Optimization Algorithms
The methods suggested use the optimization algorithms to minimize an error function derived from training the auto-associative neural network during which the interrelationships between the inputs and the outputs are obtained and stored in the weights connecting the different layers of the network.
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