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Title                                            Filename

Carino, C., Jia, Y., Lambert, B. L., West, P. M., &    f186-carino-newversion.pdf
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.

Lambert, B. L., Lin, S.-J., Toh, S., Luce, P. A.,      n05_173.pdf
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

Lambert, B. L., Lin, S.-J., Gandhi, S. K., & Chang,    annbgsynop.pdf
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.

Brewer, W. F., & Lambert, B. L. (1993). The            The theory-ladenness of observation.pdf
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.

Tcheng, D. K., Lambert, B. L., Lu, S., & Rendell, L.   AIMS--An Adaptive Interactive Modeling
(1991). AIMS: An adaptive interactive modelling        System.pdf
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.

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

Tcheng, D. K., Lambert, B. L., Lu, S. C-Y., &          Building robust learning systems.pdf
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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Proceedings Filename..

  • 1. Title Filename Carino, C., Jia, Y., Lambert, B. L., West, P. M., & f186-carino-newversion.pdf 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. Lambert, B. L., Lin, S.-J., Toh, S., Luce, P. A., n05_173.pdf 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 Lambert, B. L., Lin, S.-J., Gandhi, S. K., & Chang, annbgsynop.pdf 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. Brewer, W. F., & Lambert, B. L. (1993). The The theory-ladenness of observation.pdf 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. Tcheng, D. K., Lambert, B. L., Lu, S., & Rendell, L. AIMS--An Adaptive Interactive Modeling (1991). AIMS: An adaptive interactive modelling System.pdf 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. Tcheng, D. K., Lambert, B. L., and Lu, S. C-Y. Generalized recursive splitting (1989). Generalized recursive splitting algorithms algorithms.pdf for learning hybrid concepts. In Proceedings of the Sixth International Workshop on Machine Learning (pp. 496-498). San Mateo, CA: Morgan Kaufmann. Tcheng, D. K., Lambert, B. L., Lu, S. C-Y., & Building robust learning systems.pdf 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).
  • 2. San Mateo, CA: Morgan Kaufmann.