Training Second-Order Recurrent Neural Networks using Hints

[1]  Richard Maclin,et al.  Refining algorithms with knowledge-based neural networks: improving the Chou-Fasman algorithm for protein folding , 1994, COLT 1994.

[2]  Raymond L. Watrous,et al.  Induction of Finite-State Languages Using Second-Order Recurrent Networks , 1992, Neural Computation.

[3]  C. Lee Giles,et al.  Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks , 1992, Neural Computation.

[4]  Cris Koutsougeras,et al.  Embedding discriminant directions in backpropagation , 1992, Proceedings IEEE Southeastcon '92.

[5]  Paulo J. G. Lisboa,et al.  Translation, rotation, and scale invariant pattern recognition by high-order neural networks and moment classifiers , 1992, IEEE Trans. Neural Networks.

[6]  Steven C. Suddarth,et al.  Symbolic-Neural Systems and the Use of Hints for Developing Complex Systems , 1991, Int. J. Man Mach. Stud..

[7]  Irving S. Reed,et al.  Including Hints in Training Neural Nets , 1991, Neural Computation.

[8]  C. L. Giles,et al.  Second-order recurrent neural networks for grammatical inference , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[9]  Hamid R. Berenji,et al.  Refinement of Approximate Reasoning-based Controllers by Reinforcement Learning , 1991, ML.

[10]  Jude Shavlik,et al.  Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks , 1990, AAAI.

[11]  Yaser S. Abu-Mostafa,et al.  Learning from hints in neural networks , 1990, J. Complex..

[12]  Ronald J. Williams,et al.  A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.

[13]  Colin Giles,et al.  Learning, invariance, and generalization in high-order neural networks. , 1987, Applied optics.

[14]  C. L. Giles,et al.  Machine learning using higher order correlation networks , 1986 .