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Experimental results using the Bahadur Lazarsfeld expansion suggest that the greatest degree of performance increase is achieved by incorporating term dependence information in estimating . ... Results provide additional support for the notion of a window of to terms in width; terms in this window may be most useful when computing dependence. ... Truncating the Bahadur Lazarsfeld expansion reduces the accuracy of the correction factor. ...doi:10.1016/0306-4573(94)90071-x fatcat:p5hrsjw4uvgt7o3i4e5jljig4y
Library & Information Science Abstracts
(LT) 9405411 Term dependence: truncating the Bahadur Lazrsfeld expansion. R. M. Losee. Information Processing & Management, 30 (2) Mar-Apr 94, p.293-303. il.tables.refs. ... Uses the Bahadur Lazarsfeld expansion model. Original abstract-amended. (SE) 9405412 FREESTYLE: LEXIS / NEXIS. C. Griffith. Information Today, 11 (1) Jan 94, p.31, 35. il. ...
The discriminant abilities of this set of items outperformed the 1990 ACR criteria in all analytical situations, showing better robustness to variations in the prevalence of individual vasculitides. ... Methods: The abilities of individual descriptive items to predict PAN diagnosis were evaluated by screening available data for 949 patients entered in the French Vasculitis Study Group's (FVSG) database ... Despite its good theoretical accuracy, a major drawback of the HAL author manuscript inserm-00276487, version 1 Bahadur-Lazarsfeld expansion is its requirement of a high number of dependency parameters ...doi:10.1002/art.23470 pmid:18438816 fatcat:67m77cj2n5gxveksws7y52wwsm
The joint distribution of these special types of binary variables, if generated by a recursive process of linear main effects is essentially parametrized in terms of marginal correlations. ... This contrasts with the log-linear formulation of joint probabilities in which parameters measure conditional associations given all remaining variables. ... being nonzero, precisely the entries in position 2,3,5 and 1999) stresses that estimation in constrained Bahadur expansions is still undeveloped and that a truncated Bahadur expansion need not give a ...doi:10.1214/09-ejs439 fatcat:dfpj4vfscnfopabnss4weh3guu
We discuss the interdependencies between parameter estimation and certain properties of probabilistic models: dependence assumptions, binary vs. nonbinary features, estimation sample selection. ... Probability estimation is important for the application of probabilistic models as well as for any evaluation in IR. ... In order to develop models which fit better to empirical data, several modifications of the basic models incorporating term dependence information have been proposed: -The Bahadur-Lazarsfeld-expansion ...doi:10.1016/0306-4573(89)90020-4 fatcat:465qeumaazaclhxzsfmojr46uy
Bahadur-Lazarsfeld expansion. ... Specht proposed that each of the normal distributions be expanded in a truncated Taylor series and that the sums of these truncated Taylor series expansions would then be a good estimate of the underlying ...doi:10.1109/tit.1973.1055089 fatcat:t5me7eosnjbaxg3xiiazyzwrre
We illustrate the self-updating process of the system and conclude by a discussion of how frequency weightings of query terms may be used to improve the model performance. ... In probabilistic information retrieval the occurrence of query terms is assumed to be conditionally independent given a relevant or non-relevant document. ... of the paper. ...fatcat:lmiaw6gpmfdztdip2nuz7dqrgi