LEADER 03318oam 2200505I 450 001 9910154609303321 005 20230808200646.0 010 $a1-315-24122-6 024 7 $a10.4324/9781315241227 035 $a(CKB)3710000000965617 035 $a(MiAaPQ)EBC4758309 035 $a(OCoLC)965444311 035 $a(EXLCZ)993710000000965617 100 $a20180706e20162012 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 04$aThe arts of imprisonment $econtrol, resistance and empowerment /$fedited by Leonidas K. Cheliotis 210 1$aLondon :$cRoutledge,$d2016. 215 $a1 online resource (339 pages) $cillustrations 225 1 $aAdvances in Criminology 300 $aFirst published 2012 by Ashgate Publishing. 311 $a0-7546-7586-6 311 $a1-351-89441-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $a1. Aesthetics and an-aesthetics : the architecture of incarceration / Yvonne Jewkes -- 2. Telling prison stories : the spectacle of punishment and the criminological imagination / Eamonn Carrabine -- 3. Victor Hugo and Octave Mirbeau : a sociological analysis of imprisonment in fiction / Vincenzo Ruggiero -- 4. Masculinity, violence, and art in Tennessee Williams' Not about nightingales / Thomas Fahy -- 5. Social documentary in prison : the art of catching the state in the act of punishment / Michelle Brown -- 6. Thug life : hip hop's curious relationship with criminal justice / andre? douglas pond cummings -- 7. Art, constraint and memory : Egon Schiele in prison / W.B. Carnochan -- 8. 'The haircut's on the house' : Rebetika songs and Greek prisons / Stathis Gauntlett -- 9. Art and autonomy : prison writers under siege / Robert Johnson -- 10. Prose and cons : autobiographical writing by British prisoners / Mike Nellis -- 11. Resistance or propaganda, self-expression or solipsism? : prison writing and the Red Army Faction prisoners in West Germany, 1973-77 / Sarah Colvin -- 12. 'Safe havens' : the formation and practice of prison choirs in the US / Mary L. Cohen -- 13. Teaching and learning : the pedagogy of arts education in prison settings / Rachel Marie-Crane Williams -- 14. Comparing art therapy in prisons to 'arts-in-corrections' : process to product and back again / David Gussak -- 15. Creative encounters : whatever happened to the arts in prisons? / Alexandra Cox and Loraine Gelsthorpe -- 16. Harmony behind bars : evaluating the therapeutic potential of a prison-based music programme / Le?on Digard and Alison Liebling -- 17. Awaiting justice in South African prisons : performing human rights in a state of exception / Aylwyn Walsh. 410 0$aAdvances in criminology. 606 $aArts in prisons 606 $aPrisons in art 606 $aPrisons in literature 606 $aPrisoners as artists 615 0$aArts in prisons. 615 0$aPrisons in art. 615 0$aPrisons in literature. 615 0$aPrisoners as artists. 676 $a700/.4556 701 $aCheliotis$b Leonidas K.$f1977-$0923075 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910154609303321 996 $aThe arts of imprisonment$92071164 997 $aUNINA LEADER 02971nam 22005295 450 001 9910299895503321 005 20200701044629.0 010 $a3-319-66308-9 024 7 $a10.1007/978-3-319-66308-1 035 $a(CKB)4100000000586806 035 $a(DE-He213)978-3-319-66308-1 035 $a(MiAaPQ)EBC5061636 035 $a(PPN)204534674 035 $a(EXLCZ)994100000000586806 100 $a20170928d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning for the Quantified Self $eOn the Art of Learning from Sensory Data /$fby Mark Hoogendoorn, Burkhardt Funk 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 231 p. 89 illus., 72 illus. in color.) 225 1 $aCognitive Systems Monographs,$x1867-4925 ;$v35 311 $a3-319-66307-0 320 $aIncludes bibliographical references at the end of each chapters and index. 330 $aThis book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are sample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users. 410 0$aCognitive Systems Monographs,$x1867-4925 ;$v35 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aHoogendoorn$b Mark$4aut$4http://id.loc.gov/vocabulary/relators/aut$01065053 702 $aFunk$b Burkhardt$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299895503321 996 $aMachine Learning for the Quantified Self$92542807 997 $aUNINA