Comments on Takiyama's Analysis of the Multithreshold Threshold Element
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Computing Capacity of Three-Input Multiple-Valued One-Threshold Perceptrons
Neural Processing Letters
Design of Supervised Classifiers Using Boolean Neural Networks
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital and Image Geometry, Advanced Lectures [based on a winter school held at Dagstuhl Castle, Germany in December 2000]
Digital and image geometry
Generalization Error Bounds for Threshold Decision Lists
The Journal of Machine Learning Research
On data classification by iterative linear partitioning
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
On data classification by iterative linear partitioning
Discrete Applied Mathematics
Fast and efficient colour inspection using sets of ellipsoidal regions
Machine Graphics & Vision International Journal
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Lower and upper bounds for the capacity of multilevel threshold elements are estimated, using two essentially different enumeration techniques. It is demonstrated that the exact number of multilevel threshold functions depends strongly on the relative topology of the input set. The results correct a previously published estimate and indicate that adding threshold levels enhances the capacity more than adding variables.