Expectations and perceived causality in fiscal policy: an experimental analysis using real world data

and accuracy. Large repositories of data typically have numerous duplicate information entries about the same entities that are difficult to cull together without an intelligent "equational theory" that identifies equivalent items by a complex, domain-dependent matching process. We have developed a

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This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation

This paper makes the case for a spotting computation scheme which gives rise to a new classification methodology for processing real world data by surveying algorithms developed under the Real World Computing (RWC) program and related work in Japan. A spotting function has the segmentation

The DDα-classifier, a nonparametric fast and very robust procedure, is de-scribed and applied to fifty classification problems regarding a broad spectrum of real-world data. The procedure first transforms the data from their original property space into a depth space, which is a low

Force on Real-World Data to develop a framework to assist health-care decision-makers in dealing with RW data, especially related to coverage and payment decisions. Methods: Task Force cochairs were selected by the ISPOR Board of Directors. Cochairs selected chairs for four working groups on: clinical

In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Since the subjects are not asked to cooperate with the system but are allowed to behave naturally, this application

Most real-world databases include a certain amount of exceptional values, generally termed as "outliers". The isolation of outliers is important both for improving the quality of original data and for reducing the impact of outlying values in the process of knowledge discovery

Abstract—The objective of this paper is to apply two dynamic state and parameter estimation techniques to real-world data. Dynamic state and parameter estimation can estimate equivalent generator internal voltages and rotor angles (dynamic states) during electromechanical dynamics. In addition