Аннотация
program tree structure in genetic programming which
outputs multiple related values, hence serves as a more
coherent multiclass classifier. The multiple outputting
effect of the tree is achieved by making it simulate a
kind of directed acyclic graph. The approach is
examined and compared with the basic genetic
programming approach on four multiclass object
classification tasks with varying difficulty. The
results show that the new approach greatly outperforms
the basic genetic programming approach on all the
tasks.
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