Hava Siegelmann
Hava Siegelmann
Professor of Computer Science, and Brain Sciences, UMass Amherst
Dirección de correo verificada de
Citado por
Citado por
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
Proceedings of the fifth annual workshop on Computational learning theory …, 1992
Neural networks and analog computation: beyond the Turing limit
HT Siegelmann
Springer Science & Business Media, 2012
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
Analog computation via neural networks
HT Siegelmann, ED Sontag
Theoretical Computer Science 131 (2), 331-360, 1994
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
Brain-inspired replay for continual learning with artificial neural networks
GM Van de Ven, HT Siegelmann, AS Tolias
Nature communications 11 (1), 4069, 2020
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 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
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), 18112, 2015
A support vector method for clustering
A Ben-Hur, D Horn, H Siegelmann, V Vapnik
Advances in Neural Information Processing Systems 13, 2000
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, 103-114, 2003
Replay in deep learning: Current approaches and missing biological elements
TL Hayes, GP Krishnan, M Bazhenov, HT Siegelmann, TJ Sejnowski, ...
Neural computation 33 (11), 2908-2950, 2021
Biological underpinnings for lifelong learning machines
D Kudithipudi, M Aguilar-Simon, J Babb, M Bazhenov, D Blackiston, ...
Nature Machine Intelligence 4 (3), 196-210, 2022
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
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20