1. A representation of the joint distribution of the responses to n dichotomous items;Bahadur,1961
2. Supervised learning of probability distributions by neural networks;Baum,1988
3. Protein secondary structure and homology by neural networks;Bohr;FEBS Letters,1988
4. Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters;Bridle,1990
5. A protein structure predictor based on an energy model with learned parameters;Bryngelson;Tetrahedron Computer Methodology: Special Issue on Neural Networks,1990