-
1
-
-
0029521061
-
Recurrent neural networks and prior knowledge for sequence processing: A constrained nondeterministic approach
-
P. Frasconi, M. Gori, and G. Soda, "Recurrent neural networks and prior knowledge for sequence processing: A constrained nondeterministic approach," Knowledge-Based Syst., vol. 8, no. 6, pp. 313-332, 1995.
-
(1995)
Knowledge-Based Syst.
, vol.8
, Issue.6
, pp. 313-332
-
-
Frasconi, P.1
Gori, M.2
Soda, G.3
-
2
-
-
0017291489
-
A software complexity measure
-
T. J. M. Cabe, "A software complexity measure," IEEE Trans. Software Eng., vol. 2, pp. 308-320, 1976.
-
(1976)
IEEE Trans. Software Eng.
, vol.2
, pp. 308-320
-
-
Cabe, T.J.M.1
-
3
-
-
84976754020
-
Design and analysis of hierarchical software metrics
-
R. Prather, "Design and analysis of hierarchical software metrics," ACM Computing Surveys, vol. 27, no. 4, pp. 497-518, 1995.
-
(1995)
ACM Computing Surveys
, vol.27
, Issue.4
, pp. 497-518
-
-
Prather, R.1
-
10
-
-
0028392483
-
Learning long-term dependencies with gradient descent is difficult
-
Mar.
-
Y. Bengio, P. Simard, and P. Frasconi, "Learning long-term dependencies with gradient descent is difficult," IEEE Trans. Neural Networks, vol. 5, pp. 157-166, Mar. 1994.
-
(1994)
IEEE Trans. Neural Networks
, vol.5
, pp. 157-166
-
-
Bengio, Y.1
Simard, P.2
Frasconi, P.3
-
11
-
-
0025519204
-
Mapping part-whole hierarchies into connectionist networks
-
G. E. Hinton, "Mapping part-whole hierarchies into connectionist networks," Artificial Intell., vol. 46, pp. 47-75, 1990.
-
(1990)
Artificial Intell.
, vol.46
, pp. 47-75
-
-
Hinton, G.E.1
-
12
-
-
0025519291
-
Recursive distributed representations
-
J. B. Pollack, "Recursive distributed representations," Artificial Intell., vol. 46, no. 1-2, pp. 77-106, 1990.
-
(1990)
Artificial Intell.
, vol.46
, Issue.1-2
, pp. 77-106
-
-
Pollack, J.B.1
-
13
-
-
0029310084
-
Holographic reduced representations
-
May
-
T. A. Plate, "Holographic reduced representations," IEEE Trans. Neural Networks, vol. 6, pp. 623-641, May 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 623-641
-
-
Plate, T.A.1
-
14
-
-
84947517907
-
Labeling RAAM
-
A. Sperduti, "Labeling RAAM," Connection Sci., vol. 6, no. 4, pp. 429-459, 1994.
-
(1994)
Connection Sci.
, vol.6
, Issue.4
, pp. 429-459
-
-
Sperduti, A.1
-
15
-
-
33747688763
-
Encoding labeled graphs by labeling RAAM
-
J. D. Cowan, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann
-
_, "Encoding labeled graphs by labeling RAAM," in Advances in Neural Information Processing Systems, J. D. Cowan, G. Tesauro, and J. Alspector, Eds. San Mateo, CA: Morgan Kaufmann, vol. 6, pp. 1125-1132, 1994.
-
(1994)
Advances in Neural Information Processing Systems
, vol.6
, pp. 1125-1132
-
-
-
16
-
-
0029408601
-
Stability properties of labeling recursive autoassociative memory
-
Nov.
-
_, "Stability properties of labeling recursive autoassociative memory," IEEE Trans. Neural Networks, vol. 6, pp. 1452-1460, Nov. 1995.
-
(1995)
IEEE Trans. Neural Networks
, vol.6
, pp. 1452-1460
-
-
-
17
-
-
0029749571
-
A memory model based on lraam for associative access of structures
-
A. Sperduti and A. Starita, "A memory model based on lraam for associative access of structures," in IEEE Int. Conf. Neural Networks, 1996, pp. 543-548.
-
(1996)
IEEE Int. Conf. Neural Networks
, pp. 543-548
-
-
Sperduti, A.1
Starita, A.2
-
18
-
-
33747747391
-
Encoding syntactical trees with labeling recursive autoassociative memory
-
Amsterdam, The Netherlands
-
V. Cadoret, "Encoding syntactical trees with labeling recursive autoassociative memory," in Proc. ECAI, Amsterdam, The Netherlands, 1994, pp. 555-559.
-
(1994)
Proc. ECAI
, pp. 555-559
-
-
Cadoret, V.1
-
19
-
-
0031145983
-
Supervised neural networks for the classification of structures
-
A. Sperduti and A. Starita, "Supervised neural networks for the classification of structures," IEEE Trans. Neural Networks, vol. 8, 1997.
-
(1997)
IEEE Trans. Neural Networks
, vol.8
-
-
Sperduti, A.1
Starita, A.2
-
20
-
-
0000383868
-
Parallel networks that learn to pronounce English text
-
Feb.
-
T. J. Sejnowski and C. R. Rosenberg, "Parallel networks that learn to pronounce English text," J. Complex Syst., vol. 1, pp. 145-168, Feb. 1987.
-
(1987)
J. Complex Syst.
, vol.1
, pp. 145-168
-
-
Sejnowski, T.J.1
Rosenberg, C.R.2
-
21
-
-
26444565569
-
Finding structure in time
-
J. L. Elman, "Finding structure in time," Cognitive Sci., vol. 14, pp. 179-211, 1990.
-
(1990)
Cognitive Sci.
, vol.14
, pp. 179-211
-
-
Elman, J.L.1
-
22
-
-
84953506049
-
Extraction, insertion, and refinement of symbolic rules in dynamically driven recurrent neural networks
-
C. L. Giles and C. W. Omlin, "Extraction, insertion, and refinement of symbolic rules in dynamically driven recurrent neural networks," Connection Sci., vol. 5, no. 3, pp. 307-337, 1993.
-
(1993)
Connection Sci.
, vol.5
, Issue.3
, pp. 307-337
-
-
Giles, C.L.1
Omlin, C.W.2
-
23
-
-
0024610919
-
A tutorial on hidden Markov models and selected applications in speech recognition
-
L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. IEEE, vol. 77, no. 2, pp. 257-286, 1989.
-
(1989)
Proc. IEEE
, vol.77
, Issue.2
, pp. 257-286
-
-
Rabiner, L.R.1
-
24
-
-
0030242097
-
Input-output HMM's for sequence processing
-
Sept.
-
Y. Bengio and P. Frasconi, "Input-output HMM's for sequence processing," IEEE Trans. Neural Networks, vol. 7, pp. 1231-1249, Sept. 1996.
-
(1996)
IEEE Trans. Neural Networks
, vol.7
, pp. 1231-1249
-
-
Bengio, Y.1
Frasconi, P.2
-
25
-
-
0026895542
-
The gamma model - A new neural-net model for temporal processing
-
B. de Vries and J. C. Principe, "The gamma model - A new neural-net model for temporal processing," Neural Networks, vol. 5, pp. 565-576, 1992.
-
(1992)
Neural Networks
, vol.5
, pp. 565-576
-
-
De Vries, B.1
Principe, J.C.2
-
26
-
-
85153962684
-
A comparison of discrete-time operator models and for nonlinear system identification
-
G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press
-
A. D. Back and A. C. Tsoi, "A comparison of discrete-time operator models and for nonlinear system identification," in Advances in Neural Information Processing Systems, G. Tesauro, D. Touretzky, and T. Leen, Eds. Cambridge, MA: MIT Press, vol. 7, 1995, pp. 883-890.
-
(1995)
Advances in Neural Information Processing Systems
, vol.7
, pp. 883-890
-
-
Back, A.D.1
Tsoi, A.C.2
-
29
-
-
0002384858
-
Asymmetric parallel Boltzmann machines are belief networks
-
R. M. Neal, "Asymmetric parallel Boltzmann machines are belief networks," Neural Comput., vol. 4, no. 6, pp. 832-834, 1992.
-
(1992)
Neural Comput.
, vol.4
, Issue.6
, pp. 832-834
-
-
Neal, R.M.1
-
31
-
-
0012829803
-
Graphical Models
-
Oxford, U.K.: Clarendon
-
S. Lauritzen, Graphical Models, no. 17 in Statistical Science Series. Oxford, U.K.: Clarendon, 1996.
-
(1996)
Statistical Science Series
, Issue.17
-
-
Lauritzen, S.1
-
32
-
-
0000735610
-
Operations for learning with graphical models
-
W. L. Buntine, "Operations for learning with graphical models," J. Artificial Intell. Res., vol. 2, pp. 159-225, 1994.
-
(1994)
J. Artificial Intell. Res.
, vol.2
, pp. 159-225
-
-
Buntine, W.L.1
-
33
-
-
0003979694
-
Learning the initial state of a second-order recurrent neural network during regular-language inference
-
M. L. Forcada and R. C. Carrasco, "Learning the initial state of a second-order recurrent neural network during regular-language inference," Neural Comput., vol. 7, no. 5, pp. 923-930, 1995.
-
(1995)
Neural Comput.
, vol.7
, Issue.5
, pp. 923-930
-
-
Forcada, M.L.1
Carrasco, R.C.2
-
34
-
-
0002529479
-
Tree automata: An informal survey
-
A. Aho, Ed. Englewood Cliffs, NJ: Prentice-Hall
-
J. Thacher, "Tree automata: An informal survey," in Currents in the Theory of Computing, A. Aho, Ed. Englewood Cliffs, NJ: Prentice-Hall, 1973, pp. 143-172.
-
(1973)
Currents in the Theory of Computing
, pp. 143-172
-
-
Thacher, J.1
-
35
-
-
0001698979
-
Bayesian updating in recursive graphical models by local computations
-
F. V. Jensen, S. L. Lauritzen, and K. G. Olosen, "Bayesian updating in recursive graphical models by local computations," Comput. Statist. Quarterly, vol. 4, pp. 269-282, 1990.
-
(1990)
Comput. Statist. Quarterly
, vol.4
, pp. 269-282
-
-
Jensen, F.V.1
Lauritzen, S.L.2
Olosen, K.G.3
-
36
-
-
84865926755
-
-
preprint, Dipartimento di Sistemi e Informatica, Universitá di Firenze, Firenze, Italy
-
P. Frasconi, M. Gori, and A. Sperduti, "Hidden recursive models for probabilistic learning of structured information," preprint, Dipartimento di Sistemi e Informatica, Universitá di Firenze, Firenze, Italy, 1997.
-
(1997)
Hidden Recursive Models for Probabilistic Learning of Structured Information
-
-
Frasconi, P.1
Gori, M.2
Sperduti, A.3
-
37
-
-
0029679189
-
Mean field theory for sigmoid belief networks
-
L. K. Saul, T. Jaakkola, and M. I. Jordan, "Mean field theory for sigmoid belief networks," J. Artificial Intell. Res., vol. 4, pp. 61-76, 1996.
-
(1996)
J. Artificial Intell. Res.
, vol.4
, pp. 61-76
-
-
Saul, L.K.1
Jaakkola, T.2
Jordan, M.I.3
-
38
-
-
0002532056
-
The estimation of stochastic context-free grammars using the inside-outside algorithm
-
K. Lari and S. J. Young, "The estimation of stochastic context-free grammars using the inside-outside algorithm," Comput. Speech and Language, vol. 4, no. 1, pp. 35-56, 1990.
-
(1990)
Comput. Speech and Language
, vol.4
, Issue.1
, pp. 35-56
-
-
Lari, K.1
Young, S.J.2
-
39
-
-
0030125824
-
Representation of finite-state automata in recurrent radial basis function networks
-
P. Frasconi, M. Gori, M. Maggini, and G. Soda, "Representation of finite-state automata in recurrent radial basis function networks," Machine Learning, vol. 23, pp. 5-32, 1996.
-
(1996)
Machine Learning
, vol.23
, pp. 5-32
-
-
Frasconi, P.1
Gori, M.2
Maggini, M.3
Soda, G.4
-
40
-
-
0023513717
-
Learning, invariance, and generalization in high-order neural networks
-
C. Giles and T. Maxwell, "Learning, invariance, and generalization in high-order neural networks," Appl. Opt., vol. 26, no. 23, p. 4972, 1987.
-
(1987)
Appl. Opt.
, vol.26
, Issue.23
, pp. 4972
-
-
Giles, C.1
Maxwell, T.2
-
41
-
-
0001257629
-
Experimental comparison of the effect of order in recurrent neural networks
-
Applications of Neural Networks to Pattern Recognition, I. Guyon, Ed.
-
C. B. Miller and C. L. Giles, "Experimental comparison of the effect of order in recurrent neural networks," Int. J. Pattern Recognition Artificial Intell., (Special issue on Applications of Neural Networks to Pattern Recognition), I. Guyon, Ed., 1993.
-
(1993)
Int. J. Pattern Recognition Artificial Intell.
, Issue.SPEC. ISSUE
-
-
Miller, C.B.1
Giles, C.L.2
-
42
-
-
0038112800
-
Optimal learning of data structures
-
Nagoya, Japan, August 23-29
-
P. Frasconi, M. Gori, and A. Sperduti, "Optimal learning of data structures," in Proc. Int. Joint Conf. Artificial Intell., Nagoya, Japan, August 23-29, 1997, pp. 1066-1071.
-
(1997)
Proc. Int. Joint Conf. Artificial Intell.
, pp. 1066-1071
-
-
Frasconi, P.1
Gori, M.2
Sperduti, A.3
-
43
-
-
0000805679
-
The molecular connectivity chi indexes and kappa shape indexes in structure-property modeling
-
K. B. Lipkowitz and D. B. Boyd, Eds. New York: VCH
-
L. H. Hall and L. B. Kier, "The molecular connectivity chi indexes and kappa shape indexes in structure-property modeling," in Reviews in Computational Chemistry, K. B. Lipkowitz and D. B. Boyd, Eds. New York: VCH, 1991, pp. 367-422.
-
(1991)
Reviews in Computational Chemistry
, pp. 367-422
-
-
Hall, L.H.1
Kier, L.B.2
-
44
-
-
0003588741
-
-
Englewood Cliffs, NJ: Prentice-Hall
-
L. Wos, R. Overbeek, E. Lusk, and J. Boyle, Automated Reasoning: Introduction and Applications. Englewood Cliffs, NJ: Prentice-Hall, 1984.
-
(1984)
Automated Reasoning: Introduction and Applications
-
-
Wos, L.1
Overbeek, R.2
Lusk, E.3
Boyle, J.4
-
45
-
-
0001600597
-
Setheo: A high-performance theorem prover
-
R. Letz, J. Schumann, S. Bayerl, and W. Bibel, "Setheo: A high-performance theorem prover," J. Automated Reasoning, vol. 8, no. 2, pp. 183-212, 1992.
-
(1992)
J. Automated Reasoning
, vol.8
, Issue.2
, pp. 183-212
-
-
Letz, R.1
Schumann, J.2
Bayerl, S.3
Bibel, W.4
-
46
-
-
33747686836
-
Using backpropagation for guiding the search of a theorem prover
-
C. B. Suttner and W. Ertel, "Using backpropagation for guiding the search of a theorem prover," Int. J. Neural Network Res. Applicat., vol. 2, no. 1, pp. 3-16, 1991.
-
(1991)
Int. J. Neural Network Res. Applicat.
, vol.2
, Issue.1
, pp. 3-16
-
-
Suttner, C.B.1
Ertel, W.2
-
47
-
-
0029727454
-
Learning task-dependent distributed structure-representations by backpropagation through structure
-
C. Goller and A. Küchler, "Learning task-dependent distributed structure-representations by backpropagation through structure," in IEEE Int. Conf. Neural Networks, 1996, pp. 347-352.
-
(1996)
IEEE Int. Conf. Neural Networks
, pp. 347-352
-
-
Goller, C.1
Küchler, A.2
-
48
-
-
0001793337
-
Learning distributed representations for the classification of terms
-
A. Sperduti, A. Starita, and C. Goller, "Learning distributed representations for the classification of terms," in Proc. Int. Joint Conf. Artificial Intell., 1995, pp. 509-515.
-
(1995)
Proc. Int. Joint Conf. Artificial Intell.
, pp. 509-515
-
-
Sperduti, A.1
Starita, A.2
Goller, C.3
-
49
-
-
84958531921
-
Extended cascade-correlation for syntactic and structural pattern recognition
-
Advances in Structural and Syntactical Pattern Recognition, P. Perner, P. Wang, and A. Rosenfeld, Eds., Berlin, Germany: Springer-Verlag
-
A. Sperduti, D. Majidi, and A. Starita, "Extended cascade-correlation for syntactic and structural pattern recognition," in Advances in Structural and Syntactical Pattern Recognition, P. Perner, P. Wang, and A. Rosenfeld, Eds., vol. 1121 of Lecture notes in Computer Science. Berlin, Germany: Springer-Verlag, 1996, pp. 90-99.
-
(1996)
Lecture Notes in Computer Science
, vol.1121
, pp. 90-99
-
-
Sperduti, A.1
Majidi, D.2
Starita, A.3
-
50
-
-
0001086881
-
The recurrent cascade-correlation architecture
-
R. P. Lippmann, J. E. Moody, and D. S. Touretzky, Eds. San Mateo, CA: Morgan Kaufmann
-
S. E. Fahlman, "The recurrent cascade-correlation architecture," in Advances in Neural Information Processing Systems, R. P. Lippmann, J. E. Moody, and D. S. Touretzky, Eds. San Mateo, CA: Morgan Kaufmann, vol. 3, 1991, pp. 190-196.
-
(1991)
Advances in Neural Information Processing Systems
, vol.3
, pp. 190-196
-
-
Fahlman, S.E.1
-
51
-
-
0020815483
-
A survey of inductive inference: Theory and methods
-
Sept.
-
D. Angluin and C. H. Smith, "A survey of inductive inference: Theory and methods," ACM Comput. Survey, vol. 15, pp. 237-269, Sept. 1983.
-
(1983)
ACM Comput. Survey
, vol.15
, pp. 237-269
-
-
Angluin, D.1
Smith, C.H.2
-
52
-
-
0030286473
-
Constructing deterministic finite-state automata in recurrent neural networks
-
C. Omlin and C. L. Giles, "Constructing deterministic finite-state automata in recurrent neural networks," J. ACM, vol. 43, no. 6, pp. 937-972, 1996.
-
(1996)
J. ACM
, vol.43
, Issue.6
, pp. 937-972
-
-
Omlin, C.1
Giles, C.L.2
-
53
-
-
0029255891
-
On the computational power of neural nets
-
H. T. Siegelmann and E. D. Sontag, "On the computational power of neural nets," J. Comput. Syst. Sci., vol. 50, no. 1, pp. 132-150, 1995.
-
(1995)
J. Comput. Syst. Sci.
, vol.50
, Issue.1
, pp. 132-150
-
-
Siegelmann, H.T.1
Sontag, E.D.2
-
54
-
-
0001187706
-
Complexity of automaton identification from given data
-
E. M. Gold, "Complexity of automaton identification from given data," Inform. Contr., vol. 37, pp. 302-320, 1978.
-
(1978)
Inform. Contr.
, vol.37
, pp. 302-320
-
-
Gold, E.M.1
-
55
-
-
0040540744
-
-
Ph.D. dissertation, Dept Comput. Sci., Univ. Alberta, Canada
-
S. C. Kremer, "A Theory of Grammatical Induction in the Connectionist Paradigm," Ph.D. dissertation, Dept Comput. Sci., Univ. Alberta, Canada, 1996.
-
(1996)
A Theory of Grammatical Induction in the Connectionist Paradigm
-
-
Kremer, S.C.1
-
56
-
-
0031128328
-
On the computational power of recurrent neural networks for structures
-
to appear
-
A. Sperduti, "On the computational power of recurrent neural networks for structures," Neural Networks, to appear, 1997.
-
(1997)
Neural Networks
-
-
Sperduti, A.1
-
57
-
-
0001327717
-
Learning and extracting finite state automata with second-order recurrent neural networks
-
C. L. Giles, C. B. Miller, D. Chen, H. H. Chen, G. Z. Sun, and Y. C. Lee, "Learning and extracting finite state automata with second-order recurrent neural networks," Neural Comput., vol. 4, no. 3, pp. 393-405, 1992.
-
(1992)
Neural Comput.
, vol.4
, Issue.3
, pp. 393-405
-
-
Giles, C.L.1
Miller, C.B.2
Chen, D.3
Chen, H.H.4
Sun, G.Z.5
Lee, Y.C.6
-
58
-
-
0027678679
-
Extracting refined rules from knowledge-based neural networks
-
G. G. Towell and J. W. Shavlik, "Extracting refined rules from knowledge-based neural networks," Machine Learning, vol. 13, pp. 71-101, 1993.
-
(1993)
Machine Learning
, vol.13
, pp. 71-101
-
-
Towell, G.G.1
Shavlik, J.W.2
-
59
-
-
84892153351
-
Beyond mealy machines: Learning translators with recurrent neural
-
San Diego, CA
-
R. Neco and M. L. Forcada, "Beyond mealy machines: learning translators with recurrent neural," in Proc. WCNN'96 (World Congr. Neural Networks), San Diego, CA, pp. 408-411.
-
Proc. WCNN'96 (World Congr. Neural Networks)
, pp. 408-411
-
-
Neco, R.1
Forcada, M.L.2
-
60
-
-
33747727928
-
Recurrent neural networks for missing or asynchronous data
-
M. Mozer, D. Touretzky, and M. Perrone, Eds., Cambridge, MA: MIT Press
-
Y. Bengio and F. Gingras, "Recurrent neural networks for missing or asynchronous data," in Advances in Neural Information Processing Systems, M. Mozer, D. Touretzky, and M. Perrone, Eds., vol. 8. Cambridge, MA: MIT Press, 1996.
-
(1996)
Advances in Neural Information Processing Systems
, vol.8
-
-
Bengio, Y.1
Gingras, F.2
|