Hava Siegelmann
Hava Siegelmann
Professor of Computer Science, and Brain Sciences, UMass Amherst
Email verificata su cs.umass.edu
TitoloCitata daAnno
Support vector clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Journal of machine learning research 2 (Dec), 125-137, 2001
15642001
On the computational power of neural nets
HT Siegelmann, ED Sontag
Proceedings of the fifth annual workshop on Computational learning theory …, 1992
9271992
Neural networks and analog computation: beyond the Turing limit
HT Siegelmann
Springer Science & Business Media, 2012
6282012
Analog computation via neural networks
HT Siegelmann, ED Sontag
Theoretical Computer Science 131 (2), 331-360, 1994
4881994
Turing computability with neural nets
HT Siegelmann, ED Sontag
Applied Mathematics Letters 4 (6), 77-80, 1991
4231991
Computational capabilities of recurrent NARX neural networks
HT Siegelmann, BG Horne, CL Giles
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 27 …, 1997
3991997
Computation beyond the Turing limit
HT Siegelmann
Science 268 (5210), 545-548, 1995
3761995
Posttranscriptional regulation of BK channel splice variant stability by miR-9 underlies neuroadaptation to alcohol
AZ Pietrzykowski, RM Friesen, GE Martin, SI Puig, CL Nowak, PM Wynne, ...
Neuron 59 (2), 274-287, 2008
3222008
A support vector clustering method
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
1472000
The dynamic universality of sigmoidal neural networks
J Kilian, HT Siegelmann
Information and computation 128 (1), 48-56, 1996
1271996
Symbolic dynamics and computation in model gene networks
R Edwards, HT Siegelmann, K Aziza, L Glass
Chaos: An Interdisciplinary Journal of Nonlinear Science 11 (1), 160-169, 2001
1072001
A support vector method for clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Advances in Neural Information Processing Systems, 367-373, 2001
1072001
Analog computation with dynamical systems
HT Siegelmann, S Fishman
Physica-Section D 120 (1), 214-235, 1998
931998
Neural and super-Turing computing
HT Siegelmann
Minds and Machines 13 (1), 103-114, 2003
792003
A theory of complexity for continuous time systems
A Ben-Hur, HT Siegelmann, S Fishman
journal of complexity 18 (1), 51-86, 2002
662002
On the complexity of training neural networks with continuous activation functions
B DasGupta, HT Siegelmann, E Sontag
IEEE Transactions on Neural Networks 6 (6), 1490-1504, 1995
611995
Input variable selection for neural networks: Application to predicting the US business cycle
J Utans, J Moody, S Rehfuss, H Siegelmann
Proceedings of 1995 Conference on Computational Intelligence for Financial …, 1995
611995
Computational power of neural networks: A characterization in terms of Kolmogorov complexity
JL Balcázar, R Gavalda, HT Siegelmann
IEEE Transactions on Information Theory 43 (4), 1175-1183, 1997
591997
The global landscape of cognition: hierarchical aggregation as an organizational principle of human cortical networks and functions
P Taylor, JN Hobbs, J Burroni, HT Siegelmann
Scientific reports 5 (1), 1-18, 2015
572015
Time-Warped Longest Common Subsequence Algorithm for Music Retrieval.
AY Guo, HT Siegelmann
ISMIR, 2004
572004
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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