Competition Among Networks Improves Committee Performance
Munro, Paul W., Parmanto, Bambang
–Neural Information Processing Systems
Since a neural network predictor inherently has an excessive number of parameters, reducing the prediction error is usually done by reducing variance. Methods for reducing neural network complexity can be viewed as a regularization technique to reduce this variance. Examples of such methods are Optimal Brain Damage (Le Cun et.
Neural Information Processing Systems
Dec-31-1997