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Searching for authors named "Michael Schmitt" – sorted by Relevance.

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46 documents found, showing 1 through 10. Next 10 →

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On Computing Boolean Functions by a Spiking Neuron
by Michael Schmitt — 1998 — Annals of Mathematics and Artificial Intelligence
…On Computing Boolean Functions by a Spiking Neuron Michael Schmitt Institute for Theoretical…
Cited by 12 (2 self) – Add To MetaCart

The Development of a Parser for SDL-2000
by Michael Schmitt — 2000
…The Development of a Parser for SDL-2000 Michael Schmitt schmitt@(email omitted); Institute…
Cited by 2 (0 self) – Add To MetaCart

Lower Bounds on Identification Criteria for Perceptron-like Learning Rules
by Michael Schmitt — 1996 — In: Proceedings of the thirteenth European meeting on cybernetics and systems research. EMCSR'96
…-like Learning Rules Michael Schmitt Institute for Theoretical Computer Science Technische Universitat Graz…
Cited by 1 (0 self) – Add To MetaCart

On the Size of Weights for McCulloch-Pitts Neurons
by Michael Schmitt — 1994 — Proceedings of the Sixth Italian Workshop on Neural Nets WIRN VIETRI-93
… Michael Schmitt Abt. Neuroinformatik, Universitat Ulm Oberer Eselsberg, W--7900 Ulm(Donau), Germany…
Cited by 2 (2 self) – Add To MetaCart

Neural Networks with Local Receptive Fields and Superlinear VC Dimension
by Michael Schmitt — 2002 — Neural Computation
… and Superlinear VC Dimension Michael Schmitt LehrstuhlMathematik und Inrmatik, FakultgtffirMathematik Ruhr…
Cited by 3 (2 self) – Add To MetaCart

Identification Criteria and Lower Bounds for Perceptron-like Learning Rules
by Michael Schmitt — 1998 — Neural Computation
…Identification Criteria and Lower Bounds for Perceptron-like Learning Rules Michael Schmitt…
Cited by 9 (0 self) – Add To MetaCart

Radial Basis Function Neural Networks Have Superlinear VC Dimension
by Michael Schmitt — 2001 — Proceedings of the 14th Annual Conference on Computational Learning Theory COLT 2001 and 5th European Conference on Computational Learning Theory EuroCOLT 2001, volume 2111 of Lecture Notes in Artificial Intelligence
…Radial Basis Function Neural Networks Have Superlinear VC Dimension Michael Schmitt Lehrstuhl…
Cited by 1 (1 self) – Add To MetaCart

Descartes' Rule of Signs for Radial Basis Function Neural Networks
by Michael Schmitt — 2002 — Neural Computation
…Descartes' Rule of Signs for Radial Basis Function Neural Networks Michael Schmitt Lehrstuhl…
Cited by 10 (1 self) – Add To MetaCart

On the Implications of Delay Adaptability for Learning in Pulsed Neural Networks
by Michael Schmitt — 1999 — Proceedings of the Workshop on Biologically-Inspired Machine Learning
…On the Implications of Delay Adaptability for Learning in Pulsed Neural Networks Michael Schmitt…
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On Methods to Keep Learning Away from Intractability (Extended Abstract)
by Michael Schmitt — 1995 — In Proc. International Conference on Artifical Neural Networks (ICANN) ’95
… Learning Away from Intractability (Extended Abstract) Michael Schmitt Institute for Theoretical Computer…
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