Research
Publications
- Rule, J., Dechter, E., & Tenenbaum, J. B. (2015). Representing and Learning a Large System of Number Concepts with Latent Predicate Networks. In Proceedings of the 37th Annual Meeting of the Cognitive Science Society. [link]
- Dechter, E., Rule, J., & Tenenbaum, J. B. (2015). Latent Predicate Networks: Concept Learning with Probabilistic Context-Sensitive Grammars. In 2015 AAAI Spring Symposium Series. [link]
- Ellis, K., Dechter, E., & Tenenbaum, J. B. (2015). Dimensionality Reduction via Program Induction. In 2015 AAAI Spring Symposium Series. [link]
- Lin, D., Dechter, E., Ellis, K., Tenenbaum, J. B., & Muggleton, S. (2014). Bias reformulation for one-shot function induction. In ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic - Including Prestigious Applications of Intelligent Systems (PAIS 2014) (pp. 525–530). doi:10.3233/978-1-61499-419-0-525 [link]
- Ellis, K., Dechter, E., Adams, R. P., & Tenenbaum, J. B. (2013). Learning Graphical Concepts. In NIPS Workshop on Constructive Machine Learning. [link]
- Dechter, E., Malmaud, J., Adams, R. P., & Tenenbaum, J. B. (2013). Bootstrap Learning via Modular Concept Discovery. In IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence, Beijing, China, August 3-9, 2013. Retrieved from http://www.aaai.org/ocs/index.php/IJCAI/IJCAI13/paper/view/6890 [link]