On the geometric separability of Boolean functions

Authors:
Tibor Hegedűs;Nimrod Megiddo
Affiliations:
-;-
Venue:
Discrete Applied Mathematics
Year:
1996

Citing 0
Cited 5

Decision lists and related Boolean functions

Theoretical Computer Science
Training a single sigmoidal neuron is hard

Neural Computation
Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard

ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
General-purpose computation with neural networks: a survey of complexity theoretic results

Neural Computation
On the Nonlearnability of a Single Spiking Neuron

Neural Computation

Quantified Score

Hi-index	0.05

Visualization

Abstract