Bidirectional Dynamics for Protein Secondary Structure Prediction

Probabilistic reasoning in intelligent systems: networks of plausible inference

Probabilistic reasoning in intelligent systems: networks of plausible inference

Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters

Advances in neural information processing systems 2

Learning and extracting finite state automata with second-order recurrent neural networks

Neural Computation

Bayesian Belief Networks as a tool for stochastic parsing

Speech Communication

LeRec: a NN/HMM hybrid for on-line handwriting recognition

Neural Computation

Representation of finite state automata in recurrent radial basis function networks

Machine Learning

Probabilistic independence networks for hidden Markov probability models

Neural Computation

Factorial Hidden Markov Models

Machine Learning - Special issue on learning with probabilistic representations

Statistical methods for speech recognition

Statistical methods for speech recognition

How embedded memory in recurrent neural network architectures helps learning long-term temporal dependencies

Neural Networks

Inductive Inference: Theory and Methods

ACM Computing Surveys (CSUR)

Bioinformatics: the machine learning approach

Bioinformatics: the machine learning approach

Statistical Language Learning

Statistical Language Learning

Bayesian Networks for Data Mining

Data Mining and Knowledge Discovery

Neural Network Ensembles

IEEE Transactions on Pattern Analysis and Machine Intelligence

Information Extraction with HMM Structures Learned by Stochastic Optimization

Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence

The acoustic-modeling problem in automatic speech recognition

The acoustic-modeling problem in automatic speech recognition

Hybrid modeling, hmm/nn architectures, and protein applications

Neural Computation

Input-output HMMs for sequence processing

IEEE Transactions on Neural Networks

Learning long-term dependencies in NARX recurrent neural networks

IEEE Transactions on Neural Networks

A general framework for adaptive processing of data structures

IEEE Transactions on Neural Networks