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Results: 1-11 |
Results: 11

Authors: FRASCONI P GORI M SPERDUTI A
Citation: P. Frasconi et al., A GENERAL FRAMEWORK FOR ADAPTIVE PROCESSING OF DATA-STRUCTURES, IEEE transactions on neural networks, 9(5), 1998, pp. 768-786

Authors: FRASCONI P GORI M SODA G
Citation: P. Frasconi et al., LINKS BETWEEN LVQ AND BACKPROPAGATION, Pattern recognition letters, 18(4), 1997, pp. 303-310

Authors: FRASCONI P GORI M
Citation: P. Frasconi et M. Gori, COMPUTATIONAL CAPABILITIES OF LOCAL-FEEDBACK RECURRENT NETWORKS ACTING AS FINITE-STATE MACHINES, IEEE transactions on neural networks, 7(6), 1996, pp. 1521-1525

Authors: BENGIO Y FRASCONI P
Citation: Y. Bengio et P. Frasconi, INPUT-OUTPUT HMMS FOR SEQUENCE PROCESSING, IEEE transactions on neural networks, 7(5), 1996, pp. 1231-1249

Authors: FRASCONI P GORI M MAGGINI M SODA G
Citation: P. Frasconi et al., REPRESENTATION OF FINITE-STATE AUTOMATA IN RECURRENT RADIAL BASIS FUNCTION NETWORKS, Machine learning, 23(1), 1996, pp. 5-32

Authors: BENGIO Y FRASCONI P
Citation: Y. Bengio et P. Frasconi, DIFFUSION OF CONTEXT AND CREDIT INFORMATION IN MARKOVIAN MODELS, The journal of artificial intelligence research, 3, 1995, pp. 249-270

Authors: BIANCHINI M FRASCONI P GORI M
Citation: M. Bianchini et al., LEARNING WITHOUT LOCAL MINIMA IN RADIAL BASIS FUNCTION NETWORKS, IEEE transactions on neural networks, 6(3), 1995, pp. 749-756

Authors: BIANCHINI M FRASCONI P GORI M
Citation: M. Bianchini et al., LEARNING IN MULTILAYERED NETWORKS USED AS AUTOASSOCIATORS, IEEE transactions on neural networks, 6(2), 1995, pp. 512-515

Authors: FRASCONI P GIRO M MAGGINI M SODA G
Citation: P. Frasconi et al., UNIFIED INTEGRATION OF EXPLICIT KNOWLEDGE AND LEARNING BY EXAMPLE IN RECURRENT NETWORKS, IEEE transactions on knowledge and data engineering, 7(2), 1995, pp. 340-346

Authors: FRASCONI P GORI M SODA G
Citation: P. Frasconi et al., RECURRENT NEURAL NETWORKS AND PRIOR KNOWLEDGE FOR SEQUENCE PROCESSING- A CONSTRAINED NONDETERMINISTIC APPROACH, Knowledge-based systems, 8(6), 1995, pp. 313-332

Authors: BENGIO Y SIMARD P FRASCONI P
Citation: Y. Bengio et al., LEARNING LONG-TERM DEPENDENCIES WITH GRADIENT DESCENT IS DIFFICULT, IEEE transactions on neural networks, 5(2), 1994, pp. 157-166
Risultati: 1-11 |