Alpha-nets: a recurrent “neural” network architecture with a hidden Markov model interpretation
Speech Communication - Neurospeech
Introduction to the theory of neural computation
Introduction to the theory of neural computation
Hidden Markov models for speech recognition
Technometrics
Smooth on-line learning algorithms for hidden Markov models
Neural Computation
LeRec: a NN/HMM hybrid for on-line handwriting recognition
Neural Computation
Probabilistic independence networks for hidden Markov probability models
Neural Computation
Exponentiated gradient versus gradient descent for linear predictors
Information and Computation
A Comparison of New and Old Algorithms for a Mixture EstimationProblem
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Hidden Neural Networks: A Framework for HMM/NN Hybrids
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Hybrid modeling, hmm/nn architectures, and protein applications
Neural Computation
Context-specific independence in Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Input-output HMMs for sequence processing
IEEE Transactions on Neural Networks
ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
Cascading discriminant and generative models for protein secondary structure prediction
PRIB'12 Proceedings of the 7th IAPR international conference on Pattern Recognition in Bioinformatics
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