SP500215 NIST Special Publication 500-215: The Second Text REtrieval Conference (TREC-2) Full Text Retrieval based on Probabilistic Equations with Coefficients fitted by Logistic Regression chapter W. Cooper A. Chen F. Gey National Institute of Standards and Technology D. K. Harman References Cooper, W. 5. (1991). Inconsistencies and Mis- nomers in Probabilistic IR. Proceedings Fourteenth Annual inlernational ACM SIGIR Conference on Research and Development in Information Retrieval. Chicago, 57-62. Cooper, W. S.; Dabney, D.; Gey, F. (1992). Proba- bilistic retrieval based on staged logistic regression. Pro- ceedings of the Fifteenth Annual International ACM SIGIR Confrrence on Research and Development in Infor- mation Retrieval. Copenhagen, 198-210. Cooper, W. S.; Gey, F. C.; Chen, A. (1993). Proba- bilistic retrieval in the TIPSTBR Collections: An Applica- tion of Staged Logistic Regression. The First Text REtrieval Conference (TREC-1). MST Special Publica- tion 500-207. Washington, 73-88. Fuhr, N.; Buckley, C. (1993). Optimizing Ioocu- ment Indexing and Search Term Weighting Based on Probabilistic Models. The First Text REtrieval Confer- ence (TREC-1). MST Special Publication 500-207. Washington, 89-100. Fuhr, N.; Buckley, C. (1991). A probabilistic learn- mg approach for document indexing. ACM Transactions on Information Systems, 9,223-248. Gey, F. C. (1993). Probabilistic Dependence and Logistic Inference in Information Retrieval Ph.D. Disser- tation, Uni[OCRerr] of California, Berkeley, California. Good, I. J. (1965). The estimation of probabilities; An essay on modern Bayesian methods. Cambridge, Mass.; M.I.T. Press. Hosmer, D. W.; Lemeshow, 5. (1989). Applied Logistic Regression. New York: Wiley. Robertson, S. E.; Maron, M. E.; Cooper, W. S. (1982). Probability of relevance: A unification of two competing models for document retrieval. Information Technology: Research and Development 1, 1-21. 66