Multi-category classification by soft-max combination of binary classifiers

In this paper, we propose a multi-category classification method that combines binary classifiers through soft-max function. Posteriori probabilities are also obtained. Both, one-versus-all and one-versus-one classifiers can be used in the combination. Empirical comparison shows that the proposed method is competitive with other implementations of, one-versus-all and one-versus-one methods in terms of both classification accuracy and posteriori probability estimate.