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Data-driven modelling of police route choice Kira Kowalska*1, John Shawe-Taylor†2 and Paul Longley‡3 1 Department of Security and Crime Science, University College London 2
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Document Date: 2015-04-19 17:14:45

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City

River / London Borough / /

Company

Pearson / Neural Networks / Donnelly / Stephens / /

Country

Jordan / United Kingdom / /

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Facility

Jill Dando Institute of Crime / University College London November / University College London / /

IndustryTerm

evaluation tool / topic network / allocation algorithm / topic modelling algorithm / street network / /

Organization

Actual police / Department of Geography / University College London / Department of Computer Science / Department of Security and Crime Science / Vehicle Data Police / Jill Dando Institute of Crime and Security Sciences / Methods Modelling police / /

Person

John Shawe-Taylor / Kira Kowalska / Paul Longley / /

Position

Driver / professor / bayesian hierarchical model for learning natural scene categories / Professor of Geographic Information Science / Head / co-editor / former co-editor / /

PublishedMedium

Machine Learning / Journal of Machine Learning Research / /

Technology

topic modelling algorithm / GPS / machine learning / genotype / Latent Dirichlet allocation algorithm / /

URL

http /

SocialTag