Learning from data . Both of these methods require a regularization parameter to be set by hand. We refer to these methods as REG and MAP respectively. Learning from Data . Wiley, New York, 1998.
Various techniques exist today to build accurate classifier models.
Although no single technique is proven to be the best in all situations, techniques that learn rule based models are especially popular in the domain of data mining. Even other forms of models such as decision trees or neural networks, are often post processed to build a rule based model. Learning from Data . John Wiley and Sons, 1998. Model averaging methods do not select a single hypothesis but rather take a weighted combination of base hypotheses to form a composite predictor.