Yee-Chun Lee

16 papers B 3Journal 5Unranked 8
YearRankTypeTitle / Venue / Authors
2017 J jnl
The Neural Network Pushdown Automaton: Model, Stack and Learning Simulations.
CoRR
Guo-Zheng Sun, C. Lee Giles, Hsing-Hen Chen, Yee-Chun Lee
1995 J jnl
Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution.
IEEE Trans. Neural Networks
C. Lee Giles, Dong Chen, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee, Mark W. Goudreau
1993 — conf
Constructive learning of recurrent neural networks.
ICNN
Dong Chen, C. Lee Giles, Guo-Zheng Sun, H. H. Chen, Yee-Chun Lee, Mark W. Goudreau
1993 — conf
Exploiting Chaos to Control the Future.
NIPS
Gary William Flake, Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen
1992 J jnl
Learning and Extracting Finite State Automata with Second-Order Recurrent Neural Networks.
Neural Comput.
C. Lee Giles, Clifford B. Miller, Dong Chen, Hsing-Hen Chen, Guo-Zheng Sun, Yee-Chun Lee
1992 — conf
Time Warping Invariant Neural Networks.
NIPS
Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
1991 — conf
Extracting and Learning an Unknown Grammar with Recurrent Neural Networks.
NIPS
C. Lee Giles, Clifford B. Miller, Dong Chen, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
1991 — conf
Green's Function Method for Fast On-Line Learning Algorithm of Recurrent Neural Networks.
NIPS
Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
1990 B conf
Function approximation and time series prediction with neural networks.
IJCNN
R. D. Jones, Yee-Chun Lee, C. W. Barnes, Gary William Flake, K. Lee, Paul S. Lewis, S. Qian
1990 B conf
Function approximation with an orthogonal basis net.
IJCNN
S. Qian, Yee-Chun Lee, R. D. Jones, C. W. Barnes, K. Lee
1990 B conf
Recurrent neural networks, hidden Markov models and stochastic grammars.
IJCNN
Guo-Zheng Sun, H. H. Chen, Yee-Chun Lee, C. Lee Giles
1989 — conf
Higher Order Recurrent Networks and Grammatical Inference.
NIPS
C. Lee Giles, Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee, Dong Chen
1988 J jnl
A neural network approach to speech recognition.
Neural Networks
Yee-Chun Lee, Hsing-Hen Chen, Guo-Zheng Sun
1988 J jnl
Learning decision trees using parallel sequential induction network.
Neural Networks
Guo-Zheng Sun, Hsing-Hen Chen, Yee-Chun Lee
1988 — conf
Parallel sequential induction networks: a new paradigm of neural network architecture.
ICNN
Guo-Zheng Sun, H. H. Chen, Yee-Chun Lee
1987 — conf
A Novel Net that Learns Sequential Decision Process.
NIPS
Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen