|
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. [view .pdf] 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. (in press). Frequency and neighborhood effects on auditory perception of drug names in noise. Proceedings of NoiseCon 2005, Institute of Noise Control Engineering, Minneapolis, MN. [view .pdf] Lambert, B. L., Lin, S.-J., Gandhi, S. K., & Chang, K.-Y. (1999). Predicting and preventing 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. [view .pdf] 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. [view .pdf] 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. [view .pdf] 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. [view .pdf] 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. [view .pdf]
|
