Committee of Classifiers

A committee machine uses several different classifiers for the same classification problem in a parallel manner. The classifiers may stem e.g. from different training processes with the same training set. The results (scalar products) are summarized to give the final classification. Threshold logical units are usually applied and the majority of votes determines the class membership. Correct classification for all members of the training set may be obtained by a committee machine even if the data set is not Linearly separable. Unfortunately, no exhaustive theory about the training of several parallel classifiers exists. 

A committee machine is a special case of a layered machine . 

A Layered machine consists of several levels of classifiers (TLU s). 

The outputs of one Level are the inputs for the next level input for the first level is the pattern to be classified output of the last Level (containing only one TLU) is the final response of the classification machine C3963. 

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