Breaking the 'glass ceiling' of risk prediction in recidivism : an application of connectionist modelling to offender data
The present thesis explored the capability of connectionist models to break through the 'glass ceiling' of accuracy currently in operation in recidivism prediction (e.g., Yang, Wong, & Coid, 2010). Regardless of the inclusion of dynamic items, all risk measures rarely exceed .75 in ter...
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University of York
2011
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.557211 |