-
1
-
-
0001578518
-
A learning algorithm for Boltzmann machines
-
Ackley, D. H., Hinton, G. E., & Sejnowski, T. J. (1985). A learning algorithm for Boltzmann machines. Cognitive Science, 9(1), 147-169.
-
(1985)
Cognitive Science
, vol.9
, Issue.1
, pp. 147-169
-
-
Ackley, D.H.1
Hinton, G.E.2
Sejnowski, T.J.3
-
3
-
-
51249176497
-
Asynchronous threshold networks
-
Alon, N. (1985). Asynchronous threshold networks. Graphs and Combinatorics, 1, 305-310.
-
(1985)
Graphs and Combinatorics
, vol.1
, pp. 305-310
-
-
Alon, N.1
-
4
-
-
0002972352
-
Explicit construction of depth-2 majority circuits for comparison and addition
-
Alon, N., & Bruck, J. (1994). Explicit construction of depth-2 majority circuits for comparison and addition. SIAM Journal on Discrete Mathematics, 7(1), 1-8.
-
(1994)
SIAM Journal on Discrete Mathematics
, vol.7
, Issue.1
, pp. 1-8
-
-
Alon, N.1
Bruck, J.2
-
5
-
-
0011252246
-
Efficient simulation of finite automata by neural nets
-
Alon, N., Dewdney, A. K., & Ott, T. J. (1991). Efficient simulation of finite automata by neural nets. Journal of the ACM, 38(2), 495-514.
-
(1991)
Journal of the ACM
, vol.38
, Issue.2
, pp. 495-514
-
-
Alon, N.1
Dewdney, A.K.2
Ott, T.J.3
-
7
-
-
0031190762
-
Computational power of neural networks: A characterization in terms of Kolmogorov complexity
-
Balcázar, J. L., Gavaldà, R., & Siegelmann, H. T. (1997). Computational power of neural networks: A characterization in terms of Kolmogorov complexity. IEEE Transactions on Information Theory, 43(4), 1175-1183.
-
(1997)
IEEE Transactions on Information Theory
, vol.43
, Issue.4
, pp. 1175-1183
-
-
Balcázar, J.L.1
Gavaldà, R.2
Siegelmann, H.T.3
-
8
-
-
0242723969
-
The structure of logarithmic advice complexity classes
-
Balcázar, J. L., & Hermo, M. (1998). The structure of logarithmic advice complexity classes. Theoretical Computer Science, 207(1), 217-244.
-
(1998)
Theoretical Computer Science
, vol.207
, Issue.1
, pp. 217-244
-
-
Balcázar, J.L.1
Hermo, M.2
-
9
-
-
0001051761
-
On the computational complexity of Ising spin glass models
-
Barahona, F. (1982). On the computational complexity of Ising spin glass models. Journal of Physics A: Mathematical and General, 15(10), 3241-3253.
-
(1982)
Journal of Physics A: Mathematical and General
, vol.15
, Issue.10
, pp. 3241-3253
-
-
Barahona, F.1
-
10
-
-
0036222192
-
A theory of complexity for continuous time systems
-
Ben-Hur, A., Siegelmann, H. T., & Fishman, S. (2002). A theory of complexity for continuous time systems. Journal of Complexity, 18(1), 51-86.
-
(2002)
Journal of Complexity
, vol.18
, Issue.1
, pp. 51-86
-
-
Ben-Hur, A.1
Siegelmann, H.T.2
Fishman, S.3
-
12
-
-
0031236165
-
Approximability of the ground state problem for certain Ising spin glasses
-
Bertoni, A., Campadelli, P., Gangai, C., & Posenato, R. (1997). Approximability of the ground state problem for certain Ising spin glasses. Journal of Complexity, 13(3), 323-339.
-
(1997)
Journal of Complexity
, vol.13
, Issue.3
, pp. 323-339
-
-
Bertoni, A.1
Campadelli, P.2
Gangai, C.3
Posenato, R.4
-
13
-
-
0001271312
-
On the ground states of the frustration model of a spin glass by a matching method of graph theory
-
Bieche, I., Maynard, R., Rammal, R., & Uhry, J. P. (1980). On the ground states of the frustration model of a spin glass by a matching method of graph theory. Journal of Physics A: Mathematical and General, 13(8), 2553-2576.
-
(1980)
Journal of Physics A: Mathematical and General
, vol.13
, Issue.8
, pp. 2553-2576
-
-
Bieche, I.1
Maynard, R.2
Rammal, R.3
Uhry, J.P.4
-
15
-
-
0024078743
-
A generalized convergence theorem for neural networks
-
Bruck, J., & Goodman, J. W. (1988). A generalized convergence theorem for neural networks. IEEE Transactions on Information Theory, 34(5), 1089-1092.
-
(1988)
IEEE Transactions on Information Theory
, vol.34
, Issue.5
, pp. 1089-1092
-
-
Bruck, J.1
Goodman, J.W.2
-
16
-
-
0030586641
-
The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction
-
Casey, M. (1996). The dynamics of discrete-time computation, with application to recurrent neural networks and finite state machine extraction. Neural Computation, 8(6), 1135-1178.
-
(1996)
Neural Computation
, vol.8
, Issue.6
, pp. 1135-1178
-
-
Casey, M.1
-
17
-
-
0021420850
-
Constant depth reducibility
-
Chandra, A. K., Stockmeyer, L. J., & Vishkin, U. (1984). Constant depth reducibility. SIAM Journal on Computing, 13(2), 423-439.
-
(1984)
SIAM Journal on Computing
, vol.13
, Issue.2
, pp. 423-439
-
-
Chandra, A.K.1
Stockmeyer, L.J.2
Vishkin, U.3
-
18
-
-
0020970741
-
Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
-
Cohen, M. A., & Grossberg, S. (1983). Absolute stability of global pattern formation and parallel memory storage by competitive neural networks. IEEE Transactions on Systems, Man, and Cybernetics, 13(5), 815-826.
-
(1983)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.13
, Issue.5
, pp. 815-826
-
-
Cohen, M.A.1
Grossberg, S.2
-
19
-
-
84918441630
-
Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition
-
Cover, T. M. (1965). Geometrical and statistical properties of systems of linear inequalities with applications in pattern recognition. IEEE Transactions on Electronic Computers, 14(3), 326-334.
-
(1965)
IEEE Transactions on Electronic Computers
, vol.14
, Issue.3
, pp. 326-334
-
-
Cover, T.M.1
-
20
-
-
0013995259
-
Capacity problems for linear machines
-
L. Kanal (Ed.). Washington, DC: Thompson Book Co.
-
Cover, T. M. (1968). Capacity problems for linear machines. In L. Kanal (Ed.), Pattern recognition (pp. 283-289). Washington, DC: Thompson Book Co.
-
(1968)
Pattern Recognition
, pp. 283-289
-
-
Cover, T.M.1
-
21
-
-
0010263084
-
The power of approximating: A comparison of activation functions
-
S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.). San Mateo, CA: Morgan Kaufmann
-
DasGupta, B., & Schnitger, G. (1993). The power of approximating: A comparison of activation functions. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in neural information processing systems (NIPS'92), 5 (pp. 615-622). San Mateo, CA: Morgan Kaufmann.
-
(1993)
Advances in Neural Information Processing Systems (NIPS'92)
, vol.5
, pp. 615-622
-
-
DasGupta, B.1
Schnitger, G.2
-
22
-
-
0030585103
-
Analog versus discrete neural networks
-
DasGupta, B., & Schnitger, G. (1996). Analog versus discrete neural networks. Neural Computation, 8(4), 805-818.
-
(1996)
Neural Computation
, vol.8
, Issue.4
, pp. 805-818
-
-
DasGupta, B.1
Schnitger, G.2
-
23
-
-
0026219835
-
Worst-case convergence times for Hopfield memories
-
Floréen, P. (1991). Worst-case convergence times for Hopfield memories. IEEE Transactions on Neural Networks, 2(5), 533-535.
-
(1991)
IEEE Transactions on Neural Networks
, vol.2
, Issue.5
, pp. 533-535
-
-
Floréen, P.1
-
24
-
-
0242679881
-
On the computational complexity of analyzing Hopfield nets
-
Floréen, P., & Orponen, P. (1989). On the computational complexity of analyzing Hopfield nets. Complex Systems, 3(6), 577-587.
-
(1989)
Complex Systems
, vol.3
, Issue.6
, pp. 577-587
-
-
Floréen, P.1
Orponen, P.2
-
25
-
-
0006521147
-
Attraction radii in Hopfield nets are hard to compute
-
Floréen P., & Orponen, P. (1993). Attraction radii in Hopfield nets are hard to compute. Neural Computation, 5(5), 812-821.
-
(1993)
Neural Computation
, vol.5
, Issue.5
, pp. 812-821
-
-
Floréen, P.1
Orponen, P.2
-
26
-
-
11744284260
-
-
Research Rep. No. A-1994-4. Helsinki: Department of Computer Science, University of Helsinki
-
Floréen, P., & Orponen, P. (1994). Complexity issues in discrete Hopfield networks (Research Rep. No. A-1994-4). Helsinki: Department of Computer Science, University of Helsinki.
-
(1994)
Complexity Issues in Discrete Hopfield Networks
-
-
Floréen, P.1
Orponen, P.2
-
27
-
-
0020748830
-
Transient length in sequential iterations of threshold functions
-
Fogelman, F., Goles, E., & Weisbuch, G. (1983). Transient length in sequential iterations of threshold functions. Discrete Applied Mathematics, 6(1), 95-98.
-
(1983)
Discrete Applied Mathematics
, vol.6
, Issue.1
, pp. 95-98
-
-
Fogelman, F.1
Goles, E.2
Weisbuch, G.3
-
28
-
-
0040930797
-
Energy functions in neural networks with continuous local functions
-
Fogelman-Soulié, F., Mejia, C., Goles, E., & Martinez, S. (1989). Energy functions in neural networks with continuous local functions. Complex Systems, 3(3), 269-293.
-
(1989)
Complex Systems
, vol.3
, Issue.3
, pp. 269-293
-
-
Fogelman-Soulié, F.1
Mejia, C.2
Goles, E.3
Martinez, S.4
-
29
-
-
0002127588
-
Parity, circuits and the polynomial-time hierarchy
-
Furst, M., Saxe, J. B., & Sipser, M. (1984). Parity, circuits and the polynomial-time hierarchy. Mathematical Systems Theory, 17(1), 13-27.
-
(1984)
Mathematical Systems Theory
, vol.17
, Issue.1
, pp. 13-27
-
-
Furst, M.1
Saxe, J.B.2
Sipser, M.3
-
31
-
-
0042519509
-
-
Technical Rep. No. 208/88. Toronto: Department of Computer Science, University of Toronto
-
Godbeer, G. H., Lipscomb, J., & Luby, M. (1988). On the computational complexity of finding stable state vectors in connectionist models (Hopfield nets) (Technical Rep. No. 208/88). Toronto: Department of Computer Science, University of Toronto.
-
(1988)
On the Computational Complexity of Finding Stable State Vectors in Connectionist Models (Hopfield Nets)
-
-
Godbeer, G.H.1
Lipscomb, J.2
Luby, M.3
-
32
-
-
84893574327
-
Improved approximate algorithms for maximum cut and satisfiability problems using semidefinite programming
-
Goemans, M. X., & Williamson, D. P. (1995). Improved approximate algorithms for maximum cut and satisfiability problems using semidefinite programming. Journal of the ACM, 42(6), 1115-1145.
-
(1995)
Journal of the ACM
, vol.42
, Issue.6
, pp. 1115-1145
-
-
Goemans, M.X.1
Williamson, D.P.2
-
33
-
-
0000069809
-
Majority gates vs. general weighted threshold gates
-
Goldmann, M., Håstad, J., & Razborov, A. (1992). Majority gates vs. general weighted threshold gates. Computational Complexity, 2(4), 277-300.
-
(1992)
Computational Complexity
, vol.2
, Issue.4
, pp. 277-300
-
-
Goldmann, M.1
Håstad, J.2
Razborov, A.3
-
34
-
-
0013416929
-
Simulating threshold circuits by majority circuits
-
Goldmann, M., & Karpinski, M. (1998). Simulating threshold circuits by majority circuits. SIAM Journal on Computing, 27(1), 230-246.
-
(1998)
SIAM Journal on Computing
, vol.27
, Issue.1
, pp. 230-246
-
-
Goldmann, M.1
Karpinski, M.2
-
35
-
-
0022722612
-
On the construction of parallel computers from various bases of Boolean functions
-
Goldschlager, L. M., & Parberry, I. (1986). On the construction of parallel computers from various bases of Boolean functions. Theoretical Computer Science, 43(1), 43-48.
-
(1986)
Theoretical Computer Science
, vol.43
, Issue.1
, pp. 43-48
-
-
Goldschlager, L.M.1
Parberry, I.2
-
36
-
-
0022241930
-
Dynamics of positive automata networks
-
Goles, E. (1985). Dynamics of positive automata networks. Theoretical Computer Science, 41(1), 19-32.
-
(1985)
Theoretical Computer Science
, vol.41
, Issue.1
, pp. 19-32
-
-
Goles, E.1
-
37
-
-
0011517670
-
Lyapunov functions associated to automata networks
-
F. Fogelman-Soulié, Y. Robert, & M. Tchuente (Eds.). Manchester: Manchester University Press
-
Goles, E. (1987). Lyapunov functions associated to automata networks. In F. Fogelman-Soulié, Y. Robert, & M. Tchuente (Eds.), Automata networks in computer science - theory and applications (pp. 58-81). Manchester: Manchester University Press.
-
(1987)
Automata Networks in Computer Science - Theory and Applications
, pp. 58-81
-
-
Goles, E.1
-
38
-
-
0003579696
-
Exponential transient classes of symmetric neural networks for synchronous and sequential updating
-
Goles, E., & Martínez, S. (1989). Exponential transient classes of symmetric neural networks for synchronous and sequential updating. Complex Systems, 3(6), 589-597.
-
(1989)
Complex Systems
, vol.3
, Issue.6
, pp. 589-597
-
-
Goles, E.1
Martínez, S.2
-
40
-
-
0042907617
-
Comportement periodique des fonctions a seuil binaires et applications
-
Goles, E., & Olivos, J. (1981a). Comportement periodique des fonctions a seuil binaires et applications. Discrete Applied Mathematics, 3(2), 93-105.
-
(1981)
Discrete Applied Mathematics
, vol.3
, Issue.2
, pp. 93-105
-
-
Goles, E.1
Olivos, J.2
-
41
-
-
0019632382
-
The convergence of symmetric threshold automata
-
Goles, E., & Olivos, J. (1981b). The convergence of symmetric threshold automata. Information and Control, 51(2), 98-104.
-
(1981)
Information and Control
, vol.51
, Issue.2
, pp. 98-104
-
-
Goles, E.1
Olivos, J.2
-
42
-
-
0022160683
-
Decreasing energy functions as a tool for studying threshold networks
-
Goles-Chacc, E., Fogelman-Soulié, F., & Pellegrin, D. (1985). Decreasing energy functions as a tool for studying threshold networks. Discrete Applied Mathematics, 12(3), 261-277.
-
(1985)
Discrete Applied Mathematics
, vol.12
, Issue.3
, pp. 261-277
-
-
Goles-Chacc, E.1
Fogelman-Soulié, F.2
Pellegrin, D.3
-
43
-
-
0036436502
-
A step towards a complexity theory for analog systems
-
Gori, M., & Meer, K. (2002). A step towards a complexity theory for analog systems. Mathematical Logic Quarterly, 48(1), 45-58.
-
(2002)
Mathematical Logic Quarterly
, vol.48
, Issue.1
, pp. 45-58
-
-
Gori, M.1
Meer, K.2
-
44
-
-
0003310528
-
Threshold circuits of bounded depth
-
Hajnal, A., Maass, W., Pudlák, P., Szegedy, M., & Turán, G. (1993). Threshold circuits of bounded depth. Journal of Computer and System Sciences, 46(2), 129-154.
-
(1993)
Journal of Computer and System Sciences
, vol.46
, Issue.2
, pp. 129-154
-
-
Hajnal, A.1
Maass, W.2
Pudlák, P.3
Szegedy, M.4
Turán, G.5
-
46
-
-
0242511427
-
Steepest descent can take exponential time for symmetric connectionist networks
-
Haken, A., & Luby, M. (1988). Steepest descent can take exponential time for symmetric connectionist networks. Complex Systems, 2(2), 191-196.
-
(1988)
Complex Systems
, vol.2
, Issue.2
, pp. 191-196
-
-
Haken, A.1
Luby, M.2
-
47
-
-
0242679930
-
Threshold numbers and threshold completions
-
P. Hansen (Ed.). Amsterdam: North-Holland
-
Hammer, P. L., Ibaraki, T., & Peled, U. N. (1981). Threshold numbers and threshold completions. In P. Hansen (Ed.), Studies on graphs and discrete programming, Annals of discrete mathematics, 11, Mathematics studies, 59 (pp. 125-145). Amsterdam: North-Holland.
-
(1981)
Studies on Graphs and Discrete Programming, Annals of Discrete Mathematics, 11, Mathematics Studies
, vol.59
, pp. 125-145
-
-
Hammer, P.L.1
Ibaraki, T.2
Peled, U.N.3
-
49
-
-
0002343638
-
Almost optimal lower bounds for small depth circuits
-
S. Micali (Ed.). Greenwich, CT: JAI Press
-
Håstad, J. (1989). Almost optimal lower bounds for small depth circuits. In S. Micali (Ed.), Advances in computing research, randomness and computation, 5 (pp. 143-170). Greenwich, CT: JAI Press.
-
(1989)
Advances in Computing Research, Randomness and Computation
, vol.5
, pp. 143-170
-
-
Håstad, J.1
-
50
-
-
0000420294
-
On the size of weights for threshold gates
-
Håstad, J. (1994). On the size of weights for threshold gates. SIAM Journal on Discrete Mathematics 7(3), 484-492.
-
(1994)
SIAM Journal on Discrete Mathematics
, vol.7
, Issue.3
, pp. 484-492
-
-
Håstad, J.1
-
51
-
-
0042075424
-
On the geometric separability of Boolean functions
-
Hegedüs, T., & Megiddo, N. (1996). On the geometric separability of Boolean functions. Discrete Applied Mathematics 66(3), 205-218.
-
(1996)
Discrete Applied Mathematics
, vol.66
, Issue.3
, pp. 205-218
-
-
Hegedüs, T.1
Megiddo, N.2
-
52
-
-
0242511430
-
Depth-efficient threshold circuits for arithmetic functions
-
V. P. Roychowdhury, K.-Y. Siu, & A. Orlitsky (Eds.), Boston: Kluwer
-
Hofmeister, T. (1994). Depth-efficient threshold circuits for arithmetic functions. In V. P. Roychowdhury, K.-Y. Siu, & A. Orlitsky (Eds.), Theoretical advances in neural computation and learning (pp. 37-84). Boston: Kluwer.
-
(1994)
Theoretical Advances in Neural Computation and Learning
, pp. 37-84
-
-
Hofmeister, T.1
-
53
-
-
0026205180
-
Some notes on threshold circuits, and multiplication in depth 4
-
Hofmeister, T., Hohberg, W., & Köhling, S. (1991). Some notes on threshold circuits, and multiplication in depth 4. Information Processing Letters, 39(4), 219-225.
-
(1991)
Information Processing Letters
, vol.39
, Issue.4
, pp. 219-225
-
-
Hofmeister, T.1
Hohberg, W.2
Köhling, S.3
-
54
-
-
84865912664
-
-
Res. Rep. No. 447. Dortmund: Dortmund University
-
0 (Res. Rep. No. 447). Dortmund: Dortmund University.
-
(1992)
0
-
-
Hofmeister, T.1
Pudlák, P.2
-
55
-
-
0020118274
-
Neural networks and physical systems with emergent collective computational abilities
-
Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences USA, 79, 2554-2558.
-
(1982)
Proceedings of the National Academy of Sciences USA
, vol.79
, pp. 2554-2558
-
-
Hopfield, J.J.1
-
56
-
-
0004469897
-
Neurons with graded response have collective computational properties like those of two-state neurons
-
Hopfield, J. J. (1984). Neurons with graded response have collective computational properties like those of two-state neurons. Proceedings of the National Academy of Sciences USA, 81, 3088-3092.
-
(1984)
Proceedings of the National Academy of Sciences USA
, vol.81
, pp. 3088-3092
-
-
Hopfield, J.J.1
-
57
-
-
0021835689
-
"Neural" computation of decision in optimization problems
-
Hopfield, J. J., & Tank, D. W. (1985). "Neural" computation of decision in optimization problems. Biological Cybernetics, 52(3), 141-152.
-
(1985)
Biological Cybernetics
, vol.52
, Issue.3
, pp. 141-152
-
-
Hopfield, J.J.1
Tank, D.W.2
-
58
-
-
0028733320
-
On the node complexity of neural networks
-
Horne, B. G., & Hush, D. R. (1994). On the node complexity of neural networks. Neural Networks, 7(9), 1413-1426.
-
(1994)
Neural Networks
, vol.7
, Issue.9
, pp. 1413-1426
-
-
Horne, B.G.1
Hush, D.R.2
-
59
-
-
0030110968
-
Bounds on the complexity of recurrent neural network implementations of finite state machines
-
Horne B. G., & Hush, D. R. (1996). Bounds on the complexity of recurrent neural network implementations of finite state machines. Neural Networks, 9(2), 243-252.
-
(1996)
Neural Networks
, vol.9
, Issue.2
, pp. 243-252
-
-
Horne, B.G.1
Hush, D.R.2
-
61
-
-
0242511426
-
Bounds for the number of threshold functions
-
Irmatov, A. A. (1996). Bounds for the number of threshold functions. Discrete Mathematics and Applications, 6(6), 569-583.
-
(1996)
Discrete Mathematics and Applications
, vol.6
, Issue.6
, pp. 569-583
-
-
Irmatov, A.A.1
-
62
-
-
0002445280
-
How easy is local search?
-
Johnson, D. S., Papadimitriou, C. H., & Yannakakis, M. (1988). How easy is local search? Journal of Computer and System Sciences, 37(1), 79-100.
-
(1988)
Journal of Computer and System Sciences
, vol.37
, Issue.1
, pp. 79-100
-
-
Johnson, D.S.1
Papadimitriou, C.H.2
Yannakakis, M.3
-
63
-
-
84968494236
-
On the probability that a random {±1}n-matrix is singular
-
Kahn, J., Komlós, J., & Szemerédi, E. (1995). On the probability that a random {±1}n-matrix is singular. Journal of the American Mathematical Society, 8(1), 223-240.
-
(1995)
Journal of the American Mathematical Society
, vol.8
, Issue.1
, pp. 223-240
-
-
Kahn, J.1
Komlós, J.2
Szemerédi, E.3
-
64
-
-
0001713459
-
The dynamic universality of sigmoidal neural networks
-
Kilian, J., & Siegelmann, H. T. (1996). The dynamic universality of sigmoidal neural networks. Information and Computation, 125(1), 48-56.
-
(1996)
Information and Computation
, vol.125
, Issue.1
, pp. 48-56
-
-
Kilian, J.1
Siegelmann, H.T.2
-
65
-
-
0003067817
-
Representation of events in nerve nets and finite automata
-
C. E. Shannon, & J. McCarthy (Eds.). Princeton, NJ: Princeton University Press
-
Kleene, S. C. (1956). Representation of events in nerve nets and finite automata. In C. E. Shannon, & J. McCarthy (Eds.), Automata studies, Annals of mathematics studies, 34 (pp. 3-41). Princeton, NJ: Princeton University Press.
-
(1956)
Automata Studies, Annals of Mathematics Studies
, vol.34
, pp. 3-41
-
-
Kleene, S.C.1
-
66
-
-
0242596164
-
-
Springer series in information sciences. Berlin: Springer-Verlag
-
Kohonen, T. (2001). Self-organizing maps (3rd ext. ed.). Springer series in information sciences, 30. Berlin: Springer-Verlag.
-
(2001)
Self-organizing Maps (3rd Ext. Ed.)
, vol.30
-
-
Kohonen, T.1
-
67
-
-
0001213937
-
Dynamics of discrete time, continuous state Hopfield networks
-
Koiran, P. (1994). Dynamics of discrete time, continuous state Hopfield networks. Neural Computation, 6(3), 459-468.
-
(1994)
Neural Computation
, vol.6
, Issue.3
, pp. 459-468
-
-
Koiran, P.1
-
68
-
-
0030284189
-
A family of universal recurrent networks
-
Koiran, P. (1996). A family of universal recurrent networks. Theoretical Computer Science, 168(2), 473-480.
-
(1996)
Theoretical Computer Science
, vol.168
, Issue.2
, pp. 473-480
-
-
Koiran, P.1
-
69
-
-
0023829082
-
Convergence results in an associative memory model
-
Komlós, J., & Paturi, R. (1988). Convergence results in an associative memory model. Neural Networks, 1(3), 239-250.
-
(1988)
Neural Networks
, vol.1
, Issue.3
, pp. 239-250
-
-
Komlós, J.1
Paturi, R.2
-
70
-
-
0005381638
-
Foundations for a circuit complexity theory of sensory processing
-
T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.). Cambridge, MA: MIT Press
-
Legenstein, R. A., & Maass, W. (2001). Foundations for a circuit complexity theory of sensory processing. In T. K. Leen, T. G. Dietterich, & V. Tresp (Eds.), Advances in neural information processing systems (NIPS 2000), 13 (pp. 259-265). Cambridge, MA: MIT Press.
-
(2001)
Advances in Neural Information Processing Systems (NIPS 2000)
, vol.13
, pp. 259-265
-
-
Legenstein, R.A.1
Maass, W.2
-
73
-
-
84885606165
-
Implementing the algebra of logic functions in terms of bounded depth formulas in the basis +,*,-
-
Lupanov, O. B. (1961). Implementing the algebra of logic functions in terms of bounded depth formulas in the basis +,*,-. Soviet Physics Doklady, 6(2), 107-108.
-
(1961)
Soviet Physics Doklady
, vol.6
, Issue.2
, pp. 107-108
-
-
Lupanov, O.B.1
-
74
-
-
0242427980
-
Circuits using threshold elements
-
Lupanov, O. B. (1972). Circuits using threshold elements. Soviet Physics Doklady, 17(2), 91-93.
-
(1972)
Soviet Physics Doklady
, vol.17
, Issue.2
, pp. 91-93
-
-
Lupanov, O.B.1
-
75
-
-
85153967884
-
On the computational complexity of networks of spiking neurons
-
G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.). Cambridge, MA: MIT Press
-
Maass, W. (1995). On the computational complexity of networks of spiking neurons. In G. Tesauro, D. S. Touretzky, & T. K. Leen (Eds.), Advances in neural information processing systems (NIPS'94), 7 (pp. 183-190). Cambridge, MA: MIT Press.
-
(1995)
Advances in Neural Information Processing Systems (NIPS'94)
, vol.7
, pp. 183-190
-
-
Maass, W.1
-
76
-
-
84898929097
-
On the computational power of noisy spiking neurons
-
D. Touretzky, M. C. Mozer, & M. E. Hasselmo (Eds.). Cambridge, MA: MIT Press
-
Maass, W. (1996a). On the computational power of noisy spiking neurons. In D. Touretzky, M. C. Mozer, & M. E. Hasselmo (Eds.), Advances in neural information processing systems (NIPS'95), 8 (pp. 211-217). Cambridge, MA: MIT Press.
-
(1996)
Advances in Neural Information Processing Systems (NIPS'95)
, vol.8
, pp. 211-217
-
-
Maass, W.1
-
77
-
-
0001781836
-
Lower bounds for the computational power of networks of spiking neurons
-
Maass, W. (1996b). Lower bounds for the computational power of networks of spiking neurons. Neural Computation, 8(1), 1-40.
-
(1996)
Neural Computation
, vol.8
, Issue.1
, pp. 1-40
-
-
Maass, W.1
-
78
-
-
0242427979
-
Bounds for the computational power and learning complexity of analog neural nets
-
Maass, W. (1997a). Bounds for the computational power and learning complexity of analog neural nets. SIAM Journal on Computing, 26(3), 708-732.
-
(1997)
SIAM Journal on Computing
, vol.26
, Issue.3
, pp. 708-732
-
-
Maass, W.1
-
79
-
-
0031568358
-
Fast sigmoidal networks via spiking neurons
-
Maass, W. (1997b). Fast sigmoidal networks via spiking neurons. Neural Computation, 9(2), 279-304.
-
(1997)
Neural Computation
, vol.9
, Issue.2
, pp. 279-304
-
-
Maass, W.1
-
80
-
-
0031472340
-
Networks of spiking neurons: The third generation of neural network models
-
Maass, W. (1997c). Networks of spiking neurons: The third generation of neural network models. Neural Networks, 10(9), 1659-1671.
-
(1997)
Neural Networks
, vol.10
, Issue.9
, pp. 1659-1671
-
-
Maass, W.1
-
81
-
-
0034321873
-
On the computational power of Winner-Take-All
-
Maass, W. (2000). On the computational power of Winner-Take-All. Neural Computation, 12(11), 2519-2536.
-
(2000)
Neural Computation
, vol.12
, Issue.11
, pp. 2519-2536
-
-
Maass, W.1
-
83
-
-
0345858250
-
Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding
-
Maass, W., & Natschläger, T. (1997). Networks of spiking neurons can emulate arbitrary Hopfield nets in temporal coding. Network: Computation in Neural Systems, 8(4), 355-371.
-
(1997)
Network: Computation in Neural Systems
, vol.8
, Issue.4
, pp. 355-371
-
-
Maass, W.1
Natschläger, T.2
-
84
-
-
0034218519
-
A model for fast analog computation based on unreliable synapses
-
Maass, W., & Natschläger, T. (2000). A model for fast analog computation based on unreliable synapses. Neural Computation, 12(7), 1679-1704.
-
(2000)
Neural Computation
, vol.12
, Issue.7
, pp. 1679-1704
-
-
Maass, W.1
Natschläger, T.2
-
85
-
-
0001243798
-
On the effect of analog noise in discrete-time analog computations
-
Maass, W., & Orponen, P. (1998). On the effect of analog noise in discrete-time analog computations. Neural Computation, 10(5), 1071-1095.
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1071-1095
-
-
Maass, W.1
Orponen, P.2
-
86
-
-
0000201936
-
On computation with pulses
-
Maass, W., & Ruf, B. (1999). On computation with pulses. Information and Computation, 148(2), 202-218.
-
(1999)
Information and Computation
, vol.148
, Issue.2
, pp. 202-218
-
-
Maass, W.1
Ruf, B.2
-
87
-
-
0004512775
-
On the complexity of learning for spiking neurons with temporal coding
-
Maass, W., & Schmitt, M. (1999). On the complexity of learning for spiking neurons with temporal coding. Information and Computation, 153(1), 26-46.
-
(1999)
Information and Computation
, vol.153
, Issue.1
, pp. 26-46
-
-
Maass, W.1
Schmitt, M.2
-
88
-
-
0026372365
-
On the computational power of sigmoid versus Boolean threshold circuits
-
New York: IEEE Press
-
Maass, W., Schnitger, G., & Sontag, E. D. (1991). On the computational power of sigmoid versus Boolean threshold circuits. In Proceedings 32nd Annual Symposium on Foundations of Computer Science (FOCS'91), San Juan, Puerto Rico (pp. 767-776). New York: IEEE Press.
-
(1991)
Proceedings 32nd Annual Symposium on Foundations of Computer Science (FOCS'91), San Juan, Puerto Rico
, pp. 767-776
-
-
Maass, W.1
Schnitger, G.2
Sontag, E.D.3
-
89
-
-
0033110325
-
Analog neural nets with gaussian or other common noise distribution cannot recognize arbitrary regular languages
-
Maass, W., & Sontag, E. D. (1999). Analog neural nets with gaussian or other common noise distribution cannot recognize arbitrary regular languages. Neural Computation, 11(3), 771-782.
-
(1999)
Neural Computation
, vol.11
, Issue.3
, pp. 771-782
-
-
Maass, W.1
Sontag, E.D.2
-
90
-
-
0032620819
-
Derandomizing approximation algorithms based on semidefinite programming
-
Mahajan, S., & Ramesh, H. (1999). Derandomizing approximation algorithms based on semidefinite programming. SIAM Journal on Computing, 28(5), 1641-1663.
-
(1999)
SIAM Journal on Computing
, vol.28
, Issue.5
, pp. 1641-1663
-
-
Mahajan, S.1
Ramesh, H.2
-
91
-
-
0023383370
-
The capacity of the Hopfield associative memory
-
McEliece, R. J., Posner, E. C., Rodemich, E. R., & Venkatesh, S. S. (1987). The capacity of the Hopfield associative memory. IEEE Transactions on Information Theory, 33(4), 461-482.
-
(1987)
IEEE Transactions on Information Theory
, vol.33
, Issue.4
, pp. 461-482
-
-
McEliece, R.J.1
Posner, E.C.2
Rodemich, E.R.3
Venkatesh, S.S.4
-
96
-
-
0242511409
-
Theory of majority decision elements
-
Muroga, S., Toda, I., & Takasu, S. (1961). Theory of majority decision elements. Journal of the Franklin Institute, 271, 376-418.
-
(1961)
Journal of the Franklin Institute
, vol.271
, pp. 376-418
-
-
Muroga, S.1
Toda, I.2
Takasu, S.3
-
97
-
-
0011995096
-
The synthesis of networks from threshold elements
-
Nechiporuk, E. I. (1964). The synthesis of networks from threshold elements. Problemy Kibernetiki, 11, 49-62.
-
(1964)
Problemy Kibernetiki
, vol.11
, pp. 49-62
-
-
Nechiporuk, E.I.1
-
98
-
-
0043016215
-
Hyperplane cuts of an n-cube
-
O'Neil, P. E. (1971). Hyperplane cuts of an n-cube. Discrete Mathematics, 1(2), 193-195.
-
(1971)
Discrete Mathematics
, vol.1
, Issue.2
, pp. 193-195
-
-
O'Neil, P.E.1
-
99
-
-
0037901061
-
Computational complexity of neural networks: A survey
-
Orponen, P. (1994). Computational complexity of neural networks: A survey. Nordic Journal of Computing, 1(1), 94-110.
-
(1994)
Nordic Journal of Computing
, vol.1
, Issue.1
, pp. 94-110
-
-
Orponen, P.1
-
100
-
-
2342531031
-
The computational power of discrete Hopfield nets with hidden units
-
Orponen, P. (1996). The computational power of discrete Hopfield nets with hidden units. Neural Computation, 8(2), 403-415.
-
(1996)
Neural Computation
, vol.8
, Issue.2
, pp. 403-415
-
-
Orponen, P.1
-
101
-
-
0000416563
-
A survey of continuous-time computation theory
-
D.-Z. Du, & K.-I. Ko (Eds.). Dordrecht: Kluwer
-
Orponen, P. (1997a). A survey of continuous-time computation theory. In D.-Z. Du, & K.-I. Ko (Eds.), Advances in algorithms, languages, and complexity (pp. 209-224). Dordrecht: Kluwer.
-
(1997)
Advances in Algorithms, Languages, and Complexity
, pp. 209-224
-
-
Orponen, P.1
-
102
-
-
0031099586
-
Computing with truly asynchronous threshold logic networks
-
Orponen, P. (1997b). Computing with truly asynchronous threshold logic networks. Theoretical Computer Science, 174(1-2), 123-136.
-
(1997)
Theoretical Computer Science
, vol.174
, Issue.1-2
, pp. 123-136
-
-
Orponen, P.1
-
103
-
-
84958057046
-
The computational power of continuous time neural networks
-
Berlin: Springer-Verlag
-
Orponen, P. (1997c). The computational power of continuous time neural networks. In Proceedings of the 24th Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM'97), Milovy, Czech Republic, LNCS 1338 (pp. 86-103). Berlin: Springer-Verlag.
-
(1997)
Proceedings of the 24th Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM'97), Milovy, Czech Republic, LNCS
, vol.1338
, pp. 86-103
-
-
Orponen, P.1
-
104
-
-
0002776968
-
An overview of the computational power of recurrent neural networks
-
H. Hyötyniemi (Ed.). Vaasa, Finland: Finnish AI Society
-
Orponen, P. (2000). An overview of the computational power of recurrent neural networks. In H. Hyötyniemi (Ed.), Proceedings of the 9th Finnish AI Conference STeP 2000-Millennium of AI, Espoo, Finland, "AI of Tomorrow": Symposium on Theory (Vol. 3, pp. 89-96). Vaasa, Finland: Finnish AI Society.
-
(2000)
Proceedings of the 9th Finnish AI Conference STeP 2000-Millennium of AI, Espoo, Finland, "AI of Tomorrow": Symposium on Theory
, vol.3
, pp. 89-96
-
-
Orponen, P.1
-
106
-
-
0242511413
-
A primer on the complexity theory of neural networks
-
R. B. Banerji (Ed.), Studies in computer science and artificial intelligence, Amsterdam: Elsevier-North-Holland
-
Parberry, I. (1990). A primer on the complexity theory of neural networks. In R. B. Banerji (Ed.), Formal techniques in artificial intelligence: A sourcebook, Studies in computer science and artificial intelligence, 6 (pp. 217-268). Amsterdam: Elsevier-North-Holland.
-
(1990)
Formal Techniques in Artificial Intelligence: A Sourcebook
, vol.6
, pp. 217-268
-
-
Parberry, I.1
-
108
-
-
0024777645
-
Relating Boltzmann machines to conventional models of computation
-
Parberry, I., & Schnitger, G. (1989). Relating Boltzmann machines to conventional models of computation. Neural Networks, 2(1), 56-67.
-
(1989)
Neural Networks
, vol.2
, Issue.1
, pp. 56-67
-
-
Parberry, I.1
Schnitger, G.2
-
109
-
-
51249185440
-
On periodical behaviour in societies with symmetric influences
-
Poljak, S., & Sůra, M. (1983). On periodical behaviour in societies with symmetric influences. Combinatorica, 3(1), 119-121.
-
(1983)
Combinatorica
, vol.3
, Issue.1
, pp. 119-121
-
-
Poljak, S.1
Sůra, M.2
-
110
-
-
0013218227
-
Stability and looping in connectionist models with asymmetric weights
-
Porat, S. (1989). Stability and looping in connectionist models with asymmetric weights. Biological Cybernetics, 60, 335-344.
-
(1989)
Biological Cybernetics
, vol.60
, pp. 335-344
-
-
Porat, S.1
-
111
-
-
0001355838
-
Radial basis functions for multivariable interpolation: A review
-
J. C. Mason & M. G. Cox (Eds.). Oxford: Oxford Science Publications
-
Powell, M. J. D. (1985). Radial basis functions for multivariable interpolation: A review. In J. C. Mason & M. G. Cox (Eds.), Proceedings of the IMA Conference on Algorithms for the Approximation of Functions and Data (pp. 143-167). Oxford: Oxford Science Publications.
-
(1985)
Proceedings of the IMA Conference on Algorithms for the Approximation of Functions and Data
, pp. 143-167
-
-
Powell, M.J.D.1
-
112
-
-
50549176920
-
Probabilistic automata
-
Rabin, M. (1963). Probabilistic automata. Information and Control, 6(3), 230-245.
-
(1963)
Information and Control
, vol.6
, Issue.3
, pp. 230-245
-
-
Rabin, M.1
-
113
-
-
84898061873
-
On small depth threshold circuits
-
O. Nurmi & E. Ukkonen (Eds.). Berlin: Springer-Verlag
-
Razborov, A. A. (1992). On small depth threshold circuits. In O. Nurmi & E. Ukkonen (Eds.), Proceedings of the 3rd Scandinavian Workshop on Algorithm Theory (SWAT'92), Helsinki, Finland, LNCS 621 (pp. 42-52). Berlin: Springer-Verlag.
-
(1992)
Proceedings of the 3rd Scandinavian Workshop on Algorithm Theory (SWAT'92), Helsinki, Finland, LNCS
, vol.621
, pp. 42-52
-
-
Razborov, A.A.1
-
114
-
-
0026932814
-
On threshold circuits and polynomial computations
-
Reif, J. H., & Tate, S. R. (1992). On threshold circuits and polynomial computations. SIAM Journal on Computing, 21(5), 896-908.
-
(1992)
SIAM Journal on Computing
, vol.21
, Issue.5
, pp. 896-908
-
-
Reif, J.H.1
Tate, S.R.2
-
115
-
-
11144273669
-
The perceptron: A probabilistic model for information storage and organization in the brain
-
Rosenblatt, F. (1958). The perceptron: A probabilistic model for information storage and organization in the brain. Psychological Review, 65(6), 386-408.
-
(1958)
Psychological Review
, vol.65
, Issue.6
, pp. 386-408
-
-
Rosenblatt, F.1
-
117
-
-
0022471098
-
Learning representations by back-propagating errors
-
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning representations by back-propagating errors. Nature, 323, 533-536.
-
(1986)
Nature
, vol.323
, pp. 533-536
-
-
Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
-
118
-
-
0015415664
-
Computational work and time on finite machines
-
Savage, J. E. (1972). Computational work and time on finite machines. Journal of the ACM, 19(4), 660-674.
-
(1972)
Journal of the ACM
, vol.19
, Issue.4
, pp. 660-674
-
-
Savage, J.E.1
-
120
-
-
0026104905
-
Simple local search problems that are hard to solve
-
Schäffer, A. A., & Yannakakis, M. (1991). Simple local search problems that are hard to solve. SIAM Journal on Computing, 20(1), 56-87.
-
(1991)
SIAM Journal on Computing
, vol.20
, Issue.1
, pp. 56-87
-
-
Schäffer, A.A.1
Yannakakis, M.2
-
122
-
-
0032236218
-
On computing Boolean functions by a spiking neuron
-
Schmitt, M. (1998). On computing Boolean functions by a spiking neuron. Annals of Mathematics and Artificial Intelligence, 24(1-4), 181-191.
-
(1998)
Annals of Mathematics and Artificial Intelligence
, vol.24
, Issue.1-4
, pp. 181-191
-
-
Schmitt, M.1
-
123
-
-
0040081674
-
Descartes' rule of signs for radial basis function neural networks
-
Schmitt, M. (2002). Descartes' rule of signs for radial basis function neural networks. Neural Computation, 14(12), 2997-3011.
-
(2002)
Neural Computation
, vol.14
, Issue.12
, pp. 2997-3011
-
-
Schmitt, M.1
-
124
-
-
0242427965
-
On the computational power of probabilistic and faulty neural networks
-
S. Abiteboul & E. Shamir (Eds.). Berlin: Springer-Verlag
-
Siegelmann, H. T. (1994). On the computational power of probabilistic and faulty neural networks. In S. Abiteboul & E. Shamir (Eds.), Proceedings of the 21st International Colloquium on Automata, Languages, and Programming (ICALP'94), LNCS 820 (pp. 23-34). Berlin: Springer-Verlag.
-
(1994)
Proceedings of the 21st International Colloquium on Automata, Languages, and Programming (ICALP'94), LNCS
, vol.820
, pp. 23-34
-
-
Siegelmann, H.T.1
-
125
-
-
0030286526
-
Recurrent neural networks and finite automata
-
Siegelmann, H. T. (1996). Recurrent neural networks and finite automata. Journal of Computational Intelligence, 12(4), 567-574.
-
(1996)
Journal of Computational Intelligence
, vol.12
, Issue.4
, pp. 567-574
-
-
Siegelmann, H.T.1
-
127
-
-
0001255172
-
Stochastic analog networks and computational complexity
-
Siegelmann, H. T. (1999b). Stochastic analog networks and computational complexity. Journal of Complexity, 15(4), 451-475.
-
(1999)
Journal of Complexity
, vol.15
, Issue.4
, pp. 451-475
-
-
Siegelmann, H.T.1
-
128
-
-
0041668380
-
Noisy neural networks and generalizations
-
S. A. Solla, T. K. Leen, & K.-R. Müller (Eds.). Cambridge, MA: MIT Press
-
Siegelmann, H. T., Roitershtein, A., & Ben-Hur, A. (2000). Noisy neural networks and generalizations. In S. A. Solla, T. K. Leen, & K.-R. Müller (Eds.), Advances in neural information processing systems (NIPS'92), 12 (pp. 335-341). Cambridge, MA: MIT Press.
-
(2000)
Advances in Neural Information Processing Systems (NIPS'92)
, vol.12
, pp. 335-341
-
-
Siegelmann, H.T.1
Roitershtein, A.2
Ben-Hur, A.3
-
129
-
-
0028500244
-
Analog computation via neural networks
-
Siegelmann, H. T., & Sontag, E. D. (1994). Analog computation via neural networks. Theoretical Computer Science, 131(2), 331-360.
-
(1994)
Theoretical Computer Science
, vol.131
, Issue.2
, pp. 331-360
-
-
Siegelmann, H.T.1
Sontag, E.D.2
-
130
-
-
0029255891
-
Computational power of neural networks
-
Siegelmann, H. T., & Sontag, E. D. (1995). Computational power of neural networks. Journal of Computer System Science, 50(1), 132-150.
-
(1995)
Journal of Computer System Science
, vol.50
, Issue.1
, pp. 132-150
-
-
Siegelmann, H.T.1
Sontag, E.D.2
-
131
-
-
0040684729
-
Hopfield languages
-
Berlin: Springer-Verlag
-
Šíma, J. (1995). Hopfield languages. In Proceedings of the 22nd Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM'95), Milovy, Czech Republic, LNCS 1012 (pp. 461-468). Berlin: Springer-Verlag.
-
(1995)
Proceedings of the 22nd Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM'95), Milovy, Czech Republic, LNCS
, vol.1012
, pp. 461-468
-
-
Šíma, J.1
-
132
-
-
0031378623
-
Analog stable simulation of discrete neural networks
-
Šíma, J. (1997). Analog stable simulation of discrete neural networks. Neural Network World, 7(6), 679-686.
-
(1997)
Neural Network World
, vol.7
, Issue.6
, pp. 679-686
-
-
Šíma, J.1
-
134
-
-
0003592224
-
A continuous-time Hopfield net simulation of discrete neural networks
-
Wetaskiwin, Canada: ICSC Academic Press
-
Šíma, J., & Orponen, P. (2000). A continuous-time Hopfield net simulation of discrete neural networks. In Proceedings of the 2nd International ICSC Symposium on Neural Computation (NC 2000), Berlin, Germany (pp. 36-42). Wetaskiwin, Canada: ICSC Academic Press.
-
(2000)
Proceedings of the 2nd International ICSC Symposium on Neural Computation (NC 2000), Berlin, Germany
, pp. 36-42
-
-
Šíma, J.1
Orponen, P.2
-
135
-
-
23044526186
-
Exponential transients in continuous-time symmetric Hopfield nets
-
Berlin: Springer-Verlag
-
Šíma, J., & Orponen, P. (2001). Exponential transients in continuous-time symmetric Hopfield nets. In Proceedings of the 11th International Conference on Artificial Neural Networks (ICANN'01), Vienna, Austria, LNCS 2130 (pp. 806-813). Berlin: Springer-Verlag.
-
(2001)
Proceedings of the 11th International Conference on Artificial Neural Networks (ICANN'01), Vienna, Austria, LNCS
, vol.2130
, pp. 806-813
-
-
Šíma, J.1
Orponen, P.2
-
136
-
-
0042878679
-
Continuous-time symmetric Hopfield nets are computationally universal
-
Šíma, J., & Orponen, P. (2003). Continuous-time symmetric Hopfield nets are computationally universal. Neural Computation, 15(3), 693-733.
-
(2003)
Neural Computation
, vol.15
, Issue.3
, pp. 693-733
-
-
Šíma, J.1
Orponen, P.2
-
137
-
-
0003640275
-
On the computational complexity of binary and analog symmetric Hopfield nets
-
Šíma, J., Orponen, P., & Antti-Poika, T. (2000). On the computational complexity of binary and analog symmetric Hopfield nets. Neural Computation, 22(12), 2965-2989.
-
(2000)
Neural Computation
, vol.22
, Issue.12
, pp. 2965-2989
-
-
Šíma, J.1
Orponen, P.2
Antti-Poika, T.3
-
138
-
-
0031703935
-
Theory of neuromata
-
Šíma, J., & Wiedermann, J. (1998). Theory of neuromata. Journal of the ACM, 45(1), 155-178.
-
(1998)
Journal of the ACM
, vol.45
, Issue.1
, pp. 155-178
-
-
Šíma, J.1
Wiedermann, J.2
-
139
-
-
0027601538
-
Depth efficient neural networks for division and related problems
-
Siu, K.-Y, Bruck, J., Kailath, T., & Hofmeister, T. (1993). Depth efficient neural networks for division and related problems. IEEE Transactions on Information Theory, 39(3), 946-956.
-
(1993)
IEEE Transactions on Information Theory
, vol.39
, Issue.3
, pp. 946-956
-
-
Siu, K.-Y.1
Bruck, J.2
Kailath, T.3
Hofmeister, T.4
-
140
-
-
0001293189
-
On optimal depth threshold circuits for multiplication and related problems
-
Siu, K.-Y., & Roychowdhury, V. P. (1994). On optimal depth threshold circuits for multiplication and related problems. SIAM Journal on Discrete Mathematics, 7(2), 284-292.
-
(1994)
SIAM Journal on Discrete Mathematics
, vol.7
, Issue.2
, pp. 284-292
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
-
141
-
-
0026367608
-
Depth-size tradeoffs for neural computation
-
Siu, K.-Y., Roychowdhury, V. P., & Kailath, T. (1991). Depth-size tradeoffs for neural computation. IEEE Transactions on Computers, 40(12), 1402-1412.
-
(1991)
IEEE Transactions on Computers
, vol.40
, Issue.12
, pp. 1402-1412
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
Kailath, T.3
-
142
-
-
0006127617
-
Computing with almost optimal size neural networks
-
S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.). San Mateo, CA: Morgan Kaufmann
-
Siu, K.-Y., Roychowdhury, V. P., & Kailath, T. (1993). Computing with almost optimal size neural networks. In S. J. Hanson, J. D. Cowan, & C. L. Giles (Eds.), Advances in neural information processing systems (NIPS'92), 5 (pp. 19-26). San Mateo, CA: Morgan Kaufmann.
-
(1993)
Advances in Neural Information Processing Systems (NIPS'92)
, vol.5
, pp. 19-26
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
Kailath, T.3
-
143
-
-
0028385008
-
Rational approximation techniques for analysis of neural networks
-
Siu, K.-Y, Roychowdhury, V. P., & Kailath, T. (1994). Rational approximation techniques for analysis of neural networks. IEEE Transactions on Information Theory, 40(2), 455-466.
-
(1994)
IEEE Transactions on Information Theory
, vol.40
, Issue.2
, pp. 455-466
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
Kailath, T.3
-
144
-
-
0004153470
-
-
Englewood Cliffs, NJ: Prentice Hall
-
Siu, K.-Y., Roychowdhury, V. P., & Kailath, T. (1995a). Discrete neural computation: A theoretical foundation. Englewood Cliffs, NJ: Prentice Hall.
-
(1995)
Discrete Neural Computation: A Theoretical Foundation
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
Kailath, T.3
-
145
-
-
0242679908
-
Toward massively parallel design of multipliers
-
Siu, K.-Y., Roychowdhury, V. P., & Kailath, T. (1995b). Toward massively parallel design of multipliers. Journal of Parallel and Distributed Computing, 24(1), 86-93.
-
(1995)
Journal of Parallel and Distributed Computing
, vol.24
, Issue.1
, pp. 86-93
-
-
Siu, K.-Y.1
Roychowdhury, V.P.2
Kailath, T.3
-
146
-
-
84956987799
-
Robust implementation of finite automata by recurrent RBF networks
-
LNCS 1963, Berlin: Springer-Verlag
-
Šorel, M., & Šíma, J. (2000). Robust implementation of finite automata by recurrent RBF networks. In Proceedings of the 27th Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM 2000), Milovy, Czech Republic, LNCS 1963 (pp. 431-439). Berlin: Springer-Verlag.
-
(2000)
Proceedings of the 27th Seminar on Current Trends in Theory and Practice of Informatics (SOFSEM 2000), Milovy, Czech Republic
, pp. 431-439
-
-
Šorel, M.1
Šíma, J.2
-
147
-
-
36149046562
-
Analytic theory of the ground state properties of a spin glass: I. Ising spin glass
-
Tanaka, F., & Edwards, S. F. (1980). Analytic theory of the ground state properties of a spin glass: I. Ising spin glass. Journal of Physics F: Metal Physics, 10, 2769-2778.
-
(1980)
Journal of Physics F: Metal Physics
, vol.10
, pp. 2769-2778
-
-
Tanaka, F.1
Edwards, S.F.2
-
148
-
-
0022957785
-
Sequential simulation of parallel iterations and applications
-
Tchuente, M. (1986). Sequential simulation of parallel iterations and applications. Theoretical Computer Science, 48(2-3), 135-144.
-
(1986)
Theoretical Computer Science
, vol.48
, Issue.2-3
, pp. 135-144
-
-
Tchuente, M.1
-
150
-
-
0003133883
-
Probabilistic logics arid the synthesis of reliable organisms from unreliable components
-
C. E. Shannon & J. McCarthy (Eds.), Annals of mathematics studies, Princeton, NJ: Princeton University Press
-
von Neumann, J. (1956). Probabilistic logics arid the synthesis of reliable organisms from unreliable components. In C. E. Shannon & J. McCarthy (Eds.), Automata studies, Annals of mathematics studies, 34 (pp. 43-98). Princeton, NJ: Princeton University Press.
-
(1956)
Automata Studies
, vol.34
, pp. 43-98
-
-
Von Neumann, J.1
-
151
-
-
0004203012
-
-
Chichester: Wiley/Teubner. Available on-line
-
Wegener, I. (1987). The complexity of Boolean functions. Chichester: Wiley/Teubner. Available on-line at http://www.eccc.uni-trier.de/eccc-local/ ECCC-Books/wegener_book_readme.html.
-
(1987)
The Complexity of Boolean Functions
-
-
Wegener, I.1
-
152
-
-
0002166614
-
Optimal lower bounds on the depth of polynomial-size threshold circuits for some arithmetic functions
-
Wegener, I. (1993). Optimal lower bounds on the depth of polynomial-size threshold circuits for some arithmetic functions. Information Processing Letters, 46(2), 85-87.
-
(1993)
Information Processing Letters
, vol.46
, Issue.2
, pp. 85-87
-
-
Wegener, I.1
-
154
-
-
0038906851
-
Complexity issues in discrete neurocomputing
-
Wiedermann, J. (1994). Complexity issues in discrete neurocomputing. Neural Network World, 4(1), 99-119.
-
(1994)
Neural Network World
, vol.4
, Issue.1
, pp. 99-119
-
-
Wiedermann, J.1
-
156
-
-
0242427959
-
Winner-take-all networks
-
M. A. Arbib (Ed.). Cambridge, MA: MIT Press
-
Yuille, A. L., & Geiger, D. (2003). Winner-take-all networks. In M. A. Arbib (Ed.), The handbook of brain theory and neural networks (2nd ed., pp. 1228-1231). Cambridge, MA: MIT Press.
-
(2003)
The Handbook of Brain Theory and Neural Networks (2nd Ed.)
, pp. 1228-1231
-
-
Yuille, A.L.1
Geiger, D.2
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