Smyth, Padhraic
- Burl, Michael C. and Asker, Lars, et el. (1998) Learning to Recognize Volcanoes on Venus; Machine Learning; Vol. 30; No. 2-3; 165-194; 10.1023/A:1007400206189
- Smyth, Padhraic and Heckerman, David, et el. (1997) Probabilistic independence networks for hidden Markov probability models; Neural Computation; Vol. 9; No. 2; 227-269; 10.1162/neco.1997.9.2.227
- Fayyad, Usama M. and Smyth, Padhraic, et el. (1995) Automated analysis and exploration of image databases: Results, progress, and challenges; Journal of Intelligent Information Systems; Vol. 4; No. 1; 7-25; 10.1007/bf00962819
- Zeng, Zheng and Goodman, Rodney M., et el. (1994) Discrete recurrent neural networks for grammatical inference; IEEE Transactions on Neural Networks; Vol. 5; No. 2; 320-330; 10.1109/72.279194
- Zeng, Zheng and Goodman, Rodney M., et el. (1993) Learning finite state machines with self-clustering recurrent networks; Neural Computation; Vol. 5; No. 6; 976-990; 10.1162/neco.1993.5.6.976
- Miller, John W. and Goodman, Rod, et el. (1993) On loss functions which minimize to conditional expected values and posterior probabilities; IEEE Transactions on Information Theory; Vol. 39; No. 4; 1404-1408; 10.1109/18.243457
- Goodman, Rodney M. and Higgins, Charles M., et el. (1992) Rule-based neural networks for classification and probability estimation; Neural Computation; Vol. 4; No. 6; 781-804; 10.1162/neco.1992.4.6.781
- Smyth, Padhraic and Goodman, Rodney M. (1992) An information theoretic approach to rule induction from databases; IEEE Transactions on Knowledge and Data Engineering; Vol. 4; No. 4; 301-316; 10.1109/69.149926
- Goodman, Rodney M. and Smyth, Padhraic (1988) Decision tree design from a communication theory standpoint; IEEE Transactions on Information Theory; Vol. 34; No. 5; 979-994; 10.1109/18.21221