Theoretical Advances in Neural Computation and Learning

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Theoretical Advances in Neural Computation and Learning

Source

Pages: 468

Medium: Hardcover

Year of Publication: 1994

ISBN:079239478X

Authors

Publisher

Kluwer Academic Publishers Norwell, MA, USA

Bibliometrics

Downloads (6 Weeks): n/a, Downloads (12 Months): n/a, Citation Count: 8

Additional Information:

cited by collaborative colleagues

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CITED BY 8

	Nageswara S.V. Rao, On Fusers that Perform Better than Best Sensor, IEEE Transactions on Pattern Analysis and Machine Intelligence, v.23 n.8, p.904-909, August 2001
	Jiří Sima, Training a single sigmoidal neuron is hard, Neural Computation, v.14 n.11, p.2709-2728, November 2002
	Jiří Šíma , Pekka Orponen, General-purpose computation with neural networks: a survey of complexity theoretic results, Neural Computation, v.15 n.12, p.2727-2778, December 2003
	Jiří Šíma , Jiří Sgall, On the Nonlearnability of a Single Spiking Neuron, Neural Computation, v.17 n.12, p.2635-2647, December 2005
	Alp Atıcı , Rocco A. Servedio, Quantum Algorithms for Learning and Testing Juntas, Quantum Information Processing, v.6 n.5, p.323-348, October 2007
	Kei Uchizawa , Rodney Douglas , Wolfgang Maass, On the computational power of threshold circuits with sparse activity, Neural Computation, v.18 n.12, p.2994-3008, December 2006
	Nageswara S. V. Rao , Vladimir Protopopescu, Function Estimation by Feedforward Sigmoidal Networks with BoundedWeights, Neural Processing Letters, v.7 n.3, p.125-131, June 1, 1998
	Shai Fine , Ari Freund , Itai Jaeger , Yishay Mansour , Yehuda Naveh , Avi Ziv, Harnessing Machine Learning to Improve the Success Rate of Stimuli Generation, IEEE Transactions on Computers, v.55 n.11, p.1344-1355, November 2006

Vwani P. Roychowdhury: colleagues

Kai-Yeung Siu: colleagues

Alon Orlitsky: colleagues