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On probabilistic analog automata
Asa Ben-Hur
,
Alexander Roitershtein
,
Hava T. Siegelmann
Theoretical Computer Science
320
(2-3), 2004, pp. 449-464
Probabilistic analysis of a differential equation for linear programming
Asa Ben-Hur
,
Joshua Feinberg
,
Shmuel Fishman
,
Hava T. Siegelmann
Journal of Complexity
19
(4), 2003, pp. 474-510
A theory of complexity for continuous time systems
Asa Ben-Hur
,
Hava T. Siegelmann
,
Shmuel Fishman
Journal of Complexity
18
(1), 2002, pp. 51-86
Stochastic analog networks and computational complexity
Hava T. Siegelmann
Journal of Complexity
15
(4), 1999, pp. 451-475
The dynamic universality of sigmoidal neural networks
Joe Kilian
,
Hava T. Siegelmann
Information and Computation
128
(1), 1996, pp. 48-56
On NIL: The software constructor of neural networks
Hava T. Siegelmann
Parallel Processing Letters
6
(4), 1996, pp. 575-582
The simple dynamics of super Turing theories
Hava T. Siegelmann
Theoretical Computer Science
168
(2), 1996, pp. 461-472
On the computational power of neural nets
Hava T. Siegelmann
,
Eduardo D. Sontag
Journal of Computer and System Sciences
50
(1), 1995, pp. 132-150
Recurrent neural networks
Hava T. Siegelmann
Lecture Notes in Computer Science
1000
, 1995, pp. 29-45
Analog computation via neural networks
Hava T. Siegelmann
,
Eduardo D. Sontag
Theoretical Computer Science
131
(2), 1994, pp. 331-360
On the computational power of probabilistic and faulty neural networks
Hava T. Siegelmann
Lecture Notes in Computer Science
820
, 1994, pp. 23-34
Some structural complexity aspects of neural computation
José L. Balcázar
,
Ricard Gavaldà
,
Hava T. Siegelmann
,
Eduardo D. Sontag
Proceedings of the 8th Annual Conference on Structure in Complexity Theory, CSCT'93 (San Diego, California, May 1993)
, 1993, pp. 253-265