<h1>Smyth, Padhraic</h1>
<h2>Combined from <a href="https://authors.library.caltech.edu">CaltechAUTHORS</a></h2>
<ul>
<li>Chudova, Darya and Hart, Christopher, el al. (2004) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160309-105810912">Gene Expression Clustering with Functional Mixture Models</a>; ISBN 0-262-20152-6; Advances in Neural Information Processing Systems 16 (NIPS 2003); 683-690</li>
<li>Burl, Michael C. and Asker, Lars, el al. (1998) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20140730-101721831">Learning to Recognize Volcanoes on Venus</a>; Machine Learning; Vol. 30; No. 2-3; 165-194; <a href="https://doi.org/10.1023/A:1007400206189">10.1023/A:1007400206189</a></li>
<li>Smyth, Padhraic and Heckerman, David, el al. (1997) <a href="https://resolver.caltech.edu/CaltechAUTHORS:SMYnc97">Probabilistic independence networks for hidden Markov probability models</a>; Neural Computation; Vol. 9; No. 2; 227-269; <a href="https://doi.org/10.1162/neco.1997.9.2.227">10.1162/neco.1997.9.2.227</a></li>
<li>Fayyad, Usama M. and Smyth, Padhraic, el al. (1995) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190723-074142687">Automated analysis and exploration of image databases: Results, progress, and challenges</a>; Journal of Intelligent Information Systems; Vol. 4; No. 1; 7-25; <a href="https://doi.org/10.1007/bf00962819">10.1007/bf00962819</a></li>
<li>Smyth, Padhraic and Fayyad, Usama, el al. (1995) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20150305-153627706">Inferring Ground Truth from Subjective Labelling of Venus Images</a>; ISBN 0-262-20104-6; Advances in Neural Information Processing Systems 7; 1085-1092</li>
<li>Burl, M. C. and Fayyad, Usama M., el al. (1994) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20120306-150027112">Automated analysis of radar imagery of Venus: handling lack of ground truth</a>; ISBN 0-8186-6952-7; 1994 IEEE International Conference on Image Processing, Proceedings (ICIP-94); 236-240; <a href="https://doi.org/10.1109/ICIP.1994.413852">10.1109/ICIP.1994.413852</a></li>
<li>Burl, M. C. and Fayyad, U. M., el al. (1994) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20120306-142457025">Automating the Hunt for Volcanoes on Venus</a>; ISBN 0-8186-5825-8; Proceedings 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition; 302-309; <a href="https://doi.org/10.1109/CVPR.1994.323844">10.1109/CVPR.1994.323844</a></li>
<li>Zeng, Zheng and Goodman, Rodney M., el al. (1994) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190315-142359688">Discrete recurrent neural networks for grammatical inference</a>; IEEE Transactions on Neural Networks; Vol. 5; No. 2; 320-330; <a href="https://doi.org/10.1109/72.279194">10.1109/72.279194</a></li>
<li>Zeng, Zheng and Goodman, Rodney M., el al. (1993) <a href="https://resolver.caltech.edu/CaltechAUTHORS:ZENnc93">Learning finite state machines with self-clustering recurrent networks</a>; Neural Computation; Vol. 5; No. 6; 976-990; <a href="https://doi.org/10.1162/neco.1993.5.6.976">10.1162/neco.1993.5.6.976</a></li>
<li>Miller, John W. and Goodman, Rod, el al. (1993) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190314-155127224">On loss functions which minimize to conditional expected values and posterior probabilities</a>; IEEE Transactions on Information Theory; Vol. 39; No. 4; 1404-1408; <a href="https://doi.org/10.1109/18.243457">10.1109/18.243457</a></li>
<li>Zeng, Zheng and Goodman, Rodney M., el al. (1993) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190314-155127316">Self-clustering recurrent networks</a>; ISBN 0780309995; IEEE International Conference on Neural Networks, 1993; 33-38; <a href="https://doi.org/10.1109/icnn.1993.298535">10.1109/icnn.1993.298535</a></li>
<li>Goodman, Rodney M. and Higgins, Charles M., el al. (1992) <a href="https://resolver.caltech.edu/CaltechAUTHORS:GOOnc92">Rule-based neural networks for classification and probability estimation</a>; Neural Computation; Vol. 4; No. 6; 781-804; <a href="https://doi.org/10.1162/neco.1992.4.6.781">10.1162/neco.1992.4.6.781</a></li>
<li>Smyth, Padhraic and Goodman, Rodney M. (1992) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190314-155127061">An information theoretic approach to rule induction from databases</a>; IEEE Transactions on Knowledge and Data Engineering; Vol. 4; No. 4; 301-316; <a href="https://doi.org/10.1109/69.149926">10.1109/69.149926</a></li>
<li>Miller, John W. and Goodman, Rod, el al. (1991) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190314-142000675">Objective functions for probability estimation</a>; ISBN 0780301641; IJCNN-91-Seattle International Joint Conference on Neural Networks; 881-886; <a href="https://doi.org/10.1109/ijcnn.1991.155295">10.1109/ijcnn.1991.155295</a></li>
<li>Goodman, Rod and Miller, John W., el al. (1991) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170620-163501947">Objective Functions For Neural Network Classifier Design</a>; ISBN 0-7803-0056-4; Proceedings. 1991 IEEE International Symposium on Information Theory; 87; <a href="https://doi.org/10.1109/ISIT.1991.695143">10.1109/ISIT.1991.695143</a></li>
<li>Goodman, Rodney M. and Miller, John W., el al. (1989) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20170711-165746284">An Information Theoretic Approach to Modeling Neural Network Expert Systems</a>; <a href="https://doi.org/10.1109/ITW.1989.761436">10.1109/ITW.1989.761436</a></li>
<li>Goodman, Rodney M. and Miller, John W., el al. (1989) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20160107-155547718">An Information Theoretic Approach to Rule-Based Connectionist Expert Systems</a>; ISBN 1-558-60015-9; Advances in Neural Information Processing Systems 1 (NIPS 1988); 256-263</li>
<li>Goodman, Rodney M. and Smyth, Padhraic (1988) <a href="https://resolver.caltech.edu/CaltechAUTHORS:20190314-130609598">Decision tree design from a communication theory standpoint</a>; IEEE Transactions on Information Theory; Vol. 34; No. 5; 979-994; <a href="https://doi.org/10.1109/18.21221">10.1109/18.21221</a></li>
</ul>