Constructing Quantitative Non-Reducible Descriptors
نویسندگان
چکیده
The classical supervised pattern recognition problem is considered. A model of learning Boolean formulas is implemented. A new computational procedure for constructing quantitative non-reducible descriptors is suggested. The proposed procedure has a diminished number of computational operations with respect to the procedure for constructing non-reducible descriptors and allows incremental learning. Some properties of the quantitative non-reducible descriptors are given.
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تاریخ انتشار 1995