Missing Information

Information transfer--the missing step.

Relational Model and Missing Information

This paper examines possibilities offered by relational model when using missing information. The overview is conducted and possibilities which occur in practial use were analyzed. The use of predicates in which missing values occur has also been analyzed. Possible effects on system performance have been indicated.

The Missing Link: Data Analysis with Missing Information

How do you handle missing data? Deletion of those subjects frequently leads to biased outcomes. Mean imputation assumes that non-responders are no different than responders, and can bias variances toward zero. Last observation carried forward methods, while still often used, can cause bias and even induce an apparent treatment effect. Multiple imputation is an improved method to deal with these...

Missing Information Impediments to Learnability

To what extent is learnability impeded when information is missing in learning instances? We present relevant known results and concrete open problems, in the context of a natural extension of the PAC learning model that accounts for arbitrarily missing information.

Stage Life Testing with Missing Stage Information - an EM-Algorithm Approach

We consider a stage life testing model and assume that the information at which levels the failures occurred is not available. In order to find estimates for the lifetime distribution parameters, we propose an EM-algorithm approach which interprets the lack of knowledge about the stages as missing information. Furthermore, we illustrate the implementation difficulties caused by an increasing nu...