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Conference Proceedings

Lambert, B. L., Lin, S.-J., Toh, S., Luce, P. A., McLennan, C., La Vigne, R., Fisher, W. M., Dickey, L. W., & Senders, J. W. (2006). Frequency and neighborhood effects on auditory perception of drug names in noise. Proceedings of NoiseCon 2005, Institute of Noise Control Engineering, Minneapolis, MN.

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Carino, C., Jia, Y.,  Lambert, B. L., West, P. M., & Yu, C. (in press). Mining officially unrecognized side effects of drugs by combining web search and machine learning. Proceedings of the 2005 ACM Conference on Information and Knowledge Management, Bremen, Germany: ACM.

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Lambert, B. L., Lin, S.-J., Gandhi, S. K., & Chang, K.-Y. (1999). Predicting and proddting drug name confusion errors: A summary of findings. In A. Scheffler (Ed.), Proceedings of Enhancing Patient Safety and Reducing Errors in Health Care (pp. 221-225). Chicago, IL: National Patient Safety Foundation.

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Brewer, W. F., & Lambert, B. L. (1993). The theory-ladenness of observation: Evidence from cognitive psychology.  Proceedings of the 15th Annual Conference of the Cognitive Science Society (pp. 254-259). Hillsdale, NJ: Lawrence Erlbaum Associates.

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Tcheng, D. K., Lambert, B. L., Lu, S., & Rendell, L. (1991). AIMS:  An adaptive interactive modelling system for supporting engineering decision-making. In L. Birnbaum and G. Collins (Eds.), Machine Learning: Proceedings of the eighth international workshop (pp. 645-649). San Mateo, CA:  Morgan Kaufmann.

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Tcheng, D. K., Lambert, B. L., and Lu, S. C-Y. (1989). Generalized recursive splitting algorithms for learning hybrid concepts.  In Proceedings of the Sixth International Workshop on Machine Learning (pp. 496-498). San Mateo, CA: Morgan Kaufmann.

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Tcheng, D. K., Lambert, B. L., Lu, S. C-Y., & Rendell, L. (1989). Building robust learning systems by combining induction and optimization. In Proceedings of the 11th International Joint Conference on Artificial Intelligence (pp. 806-812). San Mateo, CA: Morgan Kaufmann.

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Presentations