Breaking the 'Glass Ceiling' of Risk Prediction in Recidivism: An Application of Connectionist Modelling to Offender Data

Pearson, Dominic (2011) Breaking the 'Glass Ceiling' of Risk Prediction in Recidivism: An Application of Connectionist Modelling to Offender Data. PhD thesis, University of York.

Abstract

Metadata

Keywords: Actuarial Risk Assessments; Connectionist Model; Neural Network Model; Offender Assessment; Predictive Accuracy; Recidivism Risk.
Awarding institution: University of York
Academic Units: The University of York > Psychology (York)
Identification Number/EthosID (e.g. uk.bl.ethos.123456): uk.bl.ethos.557211
Depositing User: Mr Dominic Pearson
Date Deposited: 09 Jul 2012 10:57
Last Modified: 08 Sep 2016 13:01

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