Abstract
genetic programming (GP) for multiclass object
classification. Instead of using the standard GP
approach where each genetic program returns just one
floating number that is then translated into different
class labels, this approach invents a new program
structure called Modi with multiple outputs. A voting
scheme is then applied to these output values to
determine the class of the input object. The approach
is examined and compared with the basic GP approach on
four multiclass object classification tasks with
increasing difficulty. The results show that the new
approach always outperforms the basic approach with
controllable proper setting.
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