Authors: BENGIO Y GINGRAS F GOULARD B LINA JM SCOTT K

Citation: Y. Bengio et al., GAUSSIAN MIXTURE DENSITIES FOR CLASSIFICATION OF NUCLEAR-POWER-PLANT DATA, Computers and artificial intelligence, 17(2-3), 1998, pp. 189-209

Authors: LECUN Y BOTTOU L BENGIO Y HAFFNER P

Citation: Y. Lecun et al., GRADIENT-BASED LEARNING APPLIED TO DOCUMENT RECOGNITION, Proceedings of the IEEE, 86(11), 1998, pp. 2278-2324

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: 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: BENGIO Y LECUN Y NOHL C BURGES C

Citation: Y. Bengio et al., LEREC - A NN HMM HYBRID FOR ONLINE HANDWRITING RECOGNITION/, Neural computation, 7(6), 1995, pp. 1289-1303

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