Directed Networks
Approximating probabilistic inference in Bayesian belief networks is NP-hard
Artificial Intelligence, 60 (1), 141-53.
The mathematics of statistical machine translation: Parameter estimation
Brown, P. F., Della Pietra, S. A., Della Pietra, V. J., Mercer, R. L.
English-to-French I f _[ French-to-English We present an overview of Candide, a system for automatic e Channel " -] Decoder 6 translation of French text to English text.
Probabilistic Horn abduction and Bayesian networks
Artificial Intelligence, 64, 81รขยย129.
A Bayesian model of plan recognition
Artificial Intelligence, 64 (1), 53-79
A Bayesian method for the induction of probabilistic networks from data
Machine Learning, 9, 309โ347.
A practical Bayesian framework for back-propagation networks
Neural Computation, 4 (3), 448-72.
The data association problem when monitoring robot vehicles using dynamic belief networks
In ECAI-92, pp. 689โ693.
The computational complexity of probabilistic inference using Bayesian belief networks
Artificial Intelligence, 42, 393-405.
Dynamic programming and influence diagrams
Tatman, J. A. | Shachter, R. D.
IEEE Transactions on Systems, Man and Cybernetics, 20 (2), 365-79.
Symbolic probabilistic inference in belief networks
Shachter, R. D., Ambrosio, B., Favero, B. A.
In AAAI-90, pp. 126โ131.