Hava Siegelmann
Hava Siegelmann
Professor of Computer Science, and Brain Sciences, UMass Amherst
Verified email at cs.umass.edu
Cited by
Cited by
Support vector clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Journal of machine learning research 2 (Dec), 125-137, 2001
On the computational power of neural nets
HT Siegelmann, ED Sontag
Journal of computer and system sciences 50 (1), 132-150, 1995
Neural networks and analog computation: beyond the Turing limit
HT Siegelmann
Springer Science & Business Media, 2012
Analog computation via neural networks
HT Siegelmann, ED Sontag
Theoretical Computer Science 131 (2), 331-360, 1994
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
Turing computability with neural nets
HT Siegelmann, ED Sontag
Applied Mathematics Letters 4 (6), 77-80, 1991
Computation beyond the Turing limit
HT Siegelmann
Science 268 (5210), 545-548, 1995
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
A support vector clustering method
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000 …, 2000
The dynamic universality of sigmoidal neural networks
J Kilian, HT Siegelmann
Information and computation 128 (1), 48-56, 1996
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
A support vector method for clustering
A Ben-Hur, D Horn, HT Siegelmann, V Vapnik
Advances in Neural Information Processing Systems, 367-373, 2001
Analog computation with dynamical systems
HT Siegelmann, S Fishman
Physica D: Nonlinear Phenomena 120 (1-2), 214-235, 1998
Neural and super-Turing computing
HT Siegelmann
Minds and Machines 13 (1), 103-114, 2003
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
Bindsnet: A machine learning-oriented spiking neural networks library in python
H Hazan, DJ Saunders, H Khan, D Patel, DT Sanghavi, HT Siegelmann, ...
Frontiers in neuroinformatics 12, 89, 2018
A theory of complexity for continuous time systems
A Ben-Hur, HT Siegelmann, S Fishman
journal of complexity 18 (1), 51-86, 2002
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
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
Time-Warped Longest Common Subsequence Algorithm for Music Retrieval.
AY Guo, HT Siegelmann
ISMIR, 2004
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