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- W2078729151 abstract "A decision tree-based system for learning from numeric data is described. Results from linear algebra (pseudoinverse matrices) help the system to generate decision trees where the nodes are represented by linear threshold units minimizing the mean square error. The system's capability to provide good classifications with small decision trees is demonstrated on artificial and benchmark data." @default.
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- W2078729151 date "1995-09-01" @default.
- W2078729151 modified "2023-09-25" @default.
- W2078729151 title "TREE STRUCTURES OF LINEAR THRESHOLD UNITS FOR THE CLASSIFICATION OF NUMERIC EXAMPLES" @default.
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- W2078729151 doi "https://doi.org/10.1080/01969729508927510" @default.
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