Searching for authors named Wolfgang Maass – sorted by Relevance.
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Neural Computation with Winner-Take-All as the only Nonlinear Operation
- Neural Computation with Winner-Take-All as the only Nonlinear Operation Wolfgang Maass Institute
- Cited by 7 (3 self) – Add To MetaCart
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Computing on Analog Neural Nets with Arbitrary Real Weights
- Computing on Analog Neural Nets with Arbitrary Real Weights Wolfgang Maass Institute
- Cited by 2 (1 self) – Add To MetaCart
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On the complexity of learning on feedforward neural nets
- On the Complexity of Learning on Feedforward Neural Nets Wolfgang Maass Institute for Theoretical
- Cited by 7 (0 self) – Add To MetaCart
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Bounds for the Computational Power and Learning Complexity of Analog Neural Nets
- BOUNDS FOR THE COMPUTATIONAL POWER AND LEARNING COMPLEXITY OF ANALOG NEURAL NETS # WOLFGANG MAASS
- Cited by 57 (12 self) – Add To MetaCart
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Agnostic PAC-Learning of Functions on Analog Neural Nets
- 94--020 Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass Received December 19
- Cited by 20 (7 self) – Add To MetaCart
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Efficient agnostic pac-learning with simple hypotheses
- compute nearly optimal hypotheses for much larger datasets. Wolfgang Maass Institute for Theoretical
- Cited by 30 (3 self) – Add To MetaCart
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Paradigms for Computing with Spiking Neurons
- This is page i Printer: Opaque this Paradigms for Computing with Spiking Neurons Wolfgang Maass 1
- Cited by 31 (1 self) – Add To MetaCart
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On the Role of Time and Space in Neural Computation
- On the Role of Time and Space in Neural Computation Wolfgang Maass Institute for Theoretical
- Cited by 4 (0 self) – Add To MetaCart
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From Visual Perception to Multimodal Communication: Incremental Route Descriptions
- Descriptions Wolfgang Maa�� Cognitive science program Universitat des Saarlandes D-66041 Saarbrucken maass
- Cited by 3 (0 self) – Add To MetaCart
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On the Computational Power of Winner-Take-All
- On the Computational Power of Winner-Take-All Wolfgang Maass 1 Institute for Theoretical
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