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This paper proposed a new evolutionary class decomposition approach for clas-
sification tasks. A classification problem is decomposed into several modules and
each module is responsible for solving a fraction of the original problem. These
modules are trained in parallel and the sub-solutions obtained from them are
integrated to further obtain a final solution. To evaluate our method, we have
conducted some experiments. The results have shown that our algorithm is ef-
fective, ecient and promising.
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