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Criminal justice forecasts of risk : a machine learning approach

Author: Richard Berk
Publisher: London : Springer-Verlag, 2012.
Series: SpringerBriefs in computer science.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
"Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of future dangerousness" to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, "risk assessments" of  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Richard Berk
ISBN: 9781461430841 1461430844
OCLC Number: 764381399
Description: ix, 115 pages : illustrations (some color) ; 23 cm.
Contents: Getting started --
Some important background material --
A conceptual introduction to classification and forecasting --
A more formal treatment of classification and forecasting --
Tree-based forecasting methods --
Examples --
Implementation --
Some concluding observations about actuarial justice and more.
Series Title: SpringerBriefs in computer science.
Responsibility: Richard Berk.
More information:

Abstract:

Since the 1920s, "risk assessments" of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments  Read more...

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From the reviews:"Predicting `future dangerousness' has been a hot topic in psychology, sociology, and criminal justice for many years. ... The current state of machine learning statistical Read more...

 
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