Results 1 - 10 of 369

Security-control methods for statistical databases: a comparative study

by Nabil R. Adam, John C. Wortmann - ACM Computing Surveys , 1989
"... This paper considers the problem of providing security to statistical databases against disclosure of confidential information. Security-control methods suggested in the literature are classified into four general approaches: conceptual, query restriction, data perturbation, and output perturbation. ..."
Abstract - Cited by 416 (0 self) - Add to MetaCart
developing new methods that prevent exact disclosure and provide statistical-disclosure control, while at the same time do not suffer from the bias problem and the O/l query-set-size problem. Furthermore, efforts directed toward developing a bias-correction mechanism and solving the general problem of small

Manuscript Bias-Correction for Weibull Common Shape Estimation

by Y. Shen, Zhenlin Yang, Yan Shena, Zhenlin Yangb
"... (v0.0 released February 2013) A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common shape parameter of Weibull populations, allowing a general right censorship, is proposed in this paper. Extensive simulation results show that the new method is very effecti ..."
Abstract - Cited by 2 (1 self) - Add to MetaCart
effective in correcting the bias of the MLE, regardless of censoring mechanism, sample size, censoring proportion and number of populations involved. The method can be extended to more complicated Weibull models.

Manuscript Bias-Correction for Weibull Common Shape Estimation

by Yan Shena, Zhenlin Yangb , 2013
"... A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common shape parameter of Weibull populations, allowing a general right censorship, is proposed in this paper. Extensive simulation results show that the new method is very effective in correcting the bias of t ..."
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A general method for correcting the bias of the maximum likelihood estimator (MLE) of the common shape parameter of Weibull populations, allowing a general right censorship, is proposed in this paper. Extensive simulation results show that the new method is very effective in correcting the bias

Quality Management on Amazon Mechanical Turk

by Panagiotis G. Ipeirotis, Foster Provost, Jing Wang
"... Crowdsourcing services, such as Amazon Mechanical Turk, allow for easy distribution of small tasks to a large number of workers. Unfortunately, since manually verifying the quality of the submitted results is hard, malicious workers often take advantage of the verification difficulty and submit answ ..."
Abstract - Cited by 177 (8 self) - Add to MetaCart
Crowdsourcing services, such as Amazon Mechanical Turk, allow for easy distribution of small tasks to a large number of workers. Unfortunately, since manually verifying the quality of the submitted results is hard, malicious workers often take advantage of the verification difficulty and submit

Simultaneous Equations and Weak Instruments under Conditionally Heteroscedastic Disturbances E M. I

by G D. A. P
"... In this paper we extend the setting analysed in Hahn and Hausman (2002a) by allowing for conditionally heteroscedastic disturbances. We start by consid-ering the type of conditional variance-covariance matrices proposed by Engle and Kroner (1995) and we show that, when we impose a GARCH specifica-ti ..."
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and with simulation that in some occasions 2SLS, 3SLS and our proposed 2SLS and 3SLS procedures can have very severe biases, and we present the bias correction mechanisms to apply in practice. 1

Error management theory: A new perspective on biases in cross-sex mind reading

by Martie G. Haselton, David M. Buss - Journal of Personality and Social Psychology , 2000
"... A new theory of cognitive biases, called error management theory (EMT), proposes that psychological mechanisms are designed to be predictably biased when the costs of false-positive and false-negative errors were asymmetrical over evolutionary history. This theory explains known phenomena such as me ..."
Abstract - Cited by 164 (26 self) - Add to MetaCart
A new theory of cognitive biases, called error management theory (EMT), proposes that psychological mechanisms are designed to be predictably biased when the costs of false-positive and false-negative errors were asymmetrical over evolutionary history. This theory explains known phenomena

Boosting to Correct Inductive Bias in Text Classification

by Yan Liu, Yiming Yang, Jaime Carbonell - In MIT. AI Memo , 2001
"... This paper studies the effects of boosting in the context of different classification methods for text categorization, including Decision Trees, Naive Bayes, Support Vector Machines (SVMs) and a Rocchio-style classifier. We identify the inductive biases of each classifier and explore how boosting, a ..."
Abstract - Cited by 15 (4 self) - Add to MetaCart
, as an error-driven resampling mechanism, reacts to those biases. Our experiments on the Reuters-21578 benchmark show that boosting is not effective in improving the performance of the base classifiers on common categories. However, the effect of boosting for rare categories varies across classifiers: for SVMs

Boosting to Correct Inductive Bias in Text Classification

by unknown authors
"... This paper studies the effects of boosting in the context of different classification methods for text categorization, including Decision Trees, Naive Bayes, Support Vector Machines (SVMs) and a Rocchio-style classifier. We identify the inductive biases of each classifier and explore how boosting, a ..."
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, as an error-driven resampling mechanism, reacts to those biases. Our experiments on the Reuters-21578 benchmark show that boosting is not effective in improving the performance of the base classifiers on common categories. However, the effect of boosting for rare categories varies across classifiers: for SVMs

ISCA Archive Different sources of lexical bias and overt self-corrections

by Sieb G. Nooteboom, Uil Ots
"... In this paper it is argued, on the basis of a quantitative analysis of spontaneous speech errors and their corrections in Dutch, that the mechanism leading to lexical bias in speech errors cannot be same as that leading to overt self-corrections. Although spontaneous speech errors show a strong lexi ..."
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In this paper it is argued, on the basis of a quantitative analysis of spontaneous speech errors and their corrections in Dutch, that the mechanism leading to lexical bias in speech errors cannot be same as that leading to overt self-corrections. Although spontaneous speech errors show a strong

Correcting Publication Bias In Meta-Analysis: A Truncation Approach

by Guillermo Montes, Bohdan S. Lotyczewski, Guillermo Montes, Bohdan S. Lotyczewski
"... Meta-analyses are increasingly used to support national policy decision making. The practical implications of publications bias in meta-analysis are discussed. Standard approaches to correct for publication bias require knowledge of the selection mechanism that leads to publication. In this study, a ..."
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Meta-analyses are increasingly used to support national policy decision making. The practical implications of publications bias in meta-analysis are discussed. Standard approaches to correct for publication bias require knowledge of the selection mechanism that leads to publication. In this study
Results 1 - 10 of 369