00780nam0 2200253 450 00000720220090216114207.00-201-39818-420060526d2001----km-y0itay50------baengGBy-------001yyMultimedia communicationsapplications, networks, protocols and standardsFred HalsallHarlowAddison-wesleyc2001XX, 1034 P.ill.24 cmSistemi multimediali006.720Halsall,Fred67667ITUNIPARTHENOPE20060526RICAUNIMARC000007202P1 006-M/238579PIST2006P1 006-M/341137PIST2009Multimedia communications1205516UNIPARTHENOPE02287nam 2200457 450 991051132450332120210206232653.01-68149-754-913321897(CKB)4100000011436748(MiAaPQ)EBC6341856(EXLCZ)99410000001143674820210206d2017 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierThe porn myth exposing the reality behind the fantasy of pornography /Matt FraddSan Francisco :Ignatius Press,[2017]©20171 online resource (280 pages)1-62164-006-X Includes bibliographical references (pages 247-280)."The Porn Myth is a non-religious response to the commonly held belief that pornography is a harmless or even beneficial pastime. Author Matt Fradd draws on the experience of porn performers and users, and the expertise of neurologists, sociologists, and psychologists to demonstrate that pornography is destructive to individuals, relationships, and society. He provides insightful arguments, supported by the latest scientific research, to discredit the fanciful claims used to defend and promote pornography. This book explains the neurological reasons porn is addictive, helps individuals learn how to be free of porn, and offers real help to the parents and the spouses of porn users. Because recent research on pornography's harmful effects on the brain validates the experiences of countless porn users, there is a growing wave of passionate individuals trying to change the pro-porn cultural norm by inspiring others to pursue real love and to avoid its hollow counterfeit" --Inside cover.PornographySocial aspectsUnited StatesSex addictionPornographyElectronic books.PornographySocial aspectsSex addiction.Pornography.176.7Fradd Matt1067313MiAaPQMiAaPQMiAaPQBOOK9910511324503321The porn myth2550892UNINA05222nam 22007815 450 99646559170331620200630023409.03-642-33460-110.1007/978-3-642-33460-3(CKB)3400000000086227(SSID)ssj0000767548(PQKBManifestationID)11513404(PQKBTitleCode)TC0000767548(PQKBWorkID)10758150(PQKB)10350038(DE-He213)978-3-642-33460-3(MiAaPQ)EBC3070471(PPN)168324563(EXLCZ)99340000000008622720120908d2012 u| 0engurnn#008mamaatxtccrMachine Learning and Knowledge Discovery in Databases[electronic resource] European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I /edited by Peter A. Flach, Tijl De Bie, Nello Cristianini1st ed. 2012.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2012.1 online resource (XXVI, 879 p. 241 illus.)Lecture Notes in Artificial Intelligence ;7523International conference proceedings.3-642-33459-8 Includes bibliographical references and author index.Aassociation rules and frequent patterns -- Bayesian learning and graphical models -- classification -- dimensionality reduction, feature selection and extraction -- distance-based methods and kernels -- ensemble methods -- graph and tree mining -- large-scale, distributed and parallel mining and learning -- multi-relational mining and learning -- multi-task learning -- natural language processing -- online learning and data streams.This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.Lecture Notes in Artificial Intelligence ;7523Data miningArtificial intelligencePattern recognitionComputer science—MathematicsMathematical statisticsInformation storage and retrievalData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Pattern Recognitionhttps://scigraph.springernature.com/ontologies/product-market-codes/I2203XDiscrete Mathematics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17028Probability and Statistics in Computer Sciencehttps://scigraph.springernature.com/ontologies/product-market-codes/I17036Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Data mining.Artificial intelligence.Pattern recognition.Computer science—Mathematics.Mathematical statistics.Information storage and retrieval.Data Mining and Knowledge Discovery.Artificial Intelligence.Pattern Recognition.Discrete Mathematics in Computer Science.Probability and Statistics in Computer Science.Information Storage and Retrieval.006.312Flach Peter Aedthttp://id.loc.gov/vocabulary/relators/edtDe Bie Tijledthttp://id.loc.gov/vocabulary/relators/edtCristianini Nelloedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465591703316Machine Learning and Knowledge Discovery in Databases773712UNISA00905nam a2200265 i 450099100277447970753620020508205735.0000220s1973 it ||| | ita b11058158-39ule_instPARLA168724ExLDip.to Filosofiaita370Aguzzi, Luciano51807Educazione e società a Cuba /Luciano AguzziMilano :Mazzotta,1973368 p. ;21 cmCultura e classe ;5Educazione - Cuba1961-1972Scuola - Cuba1961-1972.b1105815823-02-1728-06-02991002774479707536LE005IF XXIX G 1512005000108341le005-E0.00-l- 00000.i1118396228-06-02Educazione e società a Cuba202477UNISALENTOle00501-01-00ma -itait 0105082nam 22008655 450 991048348010332120251226200542.01-280-38836-697866135662873-642-15164-710.1007/978-3-642-15164-4(CKB)2670000000036383(SSID)ssj0000646581(PQKBManifestationID)11398726(PQKBTitleCode)TC0000646581(PQKBWorkID)10696479(PQKB)11560847(DE-He213)978-3-642-15164-4(MiAaPQ)EBC3065648(PPN)149018258(BIP)32049081(EXLCZ)99267000000003638320100819d2010 u| 0engurnn|008mamaatxtccrLogic and the Foundations of Game and Decision Theory - LOFT 8 8th International Conference, Amsterdam, The Netherlands, July 3-5, 2008, Revised Selected Papers /edited by Giacomo Bonanno, Benedikt Löwe, Wiebe van der Hoek1st ed. 2010.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2010.1 online resource (XI, 207 p. 35 illus.) Lecture Notes in Artificial Intelligence,2945-9141 ;6006Bibliographic Level Mode of Issuance: Monograph3-642-15163-9 Includes bibliographical references and index.Infinite Coordination Games -- Conditioning by Minimizing Accessibility -- Correspondences in the Theory of Aggregation -- Logic and Data Exchange: Which Solutions Are “Good” Solutions? -- Preference Change Triggered by Belief Change: A Principled Approach -- A Runs-and-Systems Semantics for Logics of Announcements -- From Nash to Dependency Equilibria -- Bridges between Dynamic Doxastic and Doxastic Temporal Logics -- Multi-agent Belief Revision with Linked Preferences -- A Note on Assumption-Completeness in Modal Logic.This volume is conceived as a rami'cation of the eighth conference on Logic and the Foundations of the Theory of Games and Decisions (LOFT8), which took placein Amsterdam,inJuly2008.Inall,61papersweresubmitted to thisevent, of which 48 were presented. This volume is based on a selection of the presented papers and the invited talks: they survived a thorough and lengthy reviewing process. The LOFT conferences have been a regular biannual event since 1994. The ?rstconference washosted by the Centre Internationalde RecherchesMathe- tiques in Marseille (France),the next four took place at the InternationalCentre for Economic Research in Turin (Italy), the sixth conference was hosted by the Graduate School of Management in Leipzig (Germany), the seventh took place at the University of Liverpool (UK) and LOFT8 was organized at the ILLC in 1 Amsterdam. The LOFT conferences are interdisciplinary events that bring together - searchers from a variety of ?elds: computer science, economics, game theory, linguistics, logic, multi-agent systems, psychology, philosophy, social choice and statistics. Its focus is on the general issue of rationality and agency. In the last decade, there has been a ?oroushing activity in exactly the kind of areas that LOFT aims to address, which is demonstrated by not only the number of s- missions to LOFT8, but also the fact that the conference is becoming more and more a home for a large group of researchers, rather than a host for passersby from di'erent disciplines.Lecture Notes in Artificial Intelligence,2945-9141 ;6006Compilers (Computer programs)Computer programmingComputer scienceMachine theoryComputer scienceMathematicsDiscrete mathematicsCompilers and InterpretersProgramming TechniquesTheory of ComputationFormal Languages and Automata TheoryComputer Science Logic and Foundations of ProgrammingDiscrete Mathematics in Computer ScienceCompilers (Computer programs).Computer programming.Computer science.Machine theory.Computer scienceMathematics.Discrete mathematics.Compilers and Interpreters.Programming Techniques.Theory of Computation.Formal Languages and Automata Theory.Computer Science Logic and Foundations of Programming.Discrete Mathematics in Computer Science.005.13Bonanno Giacomo88783Lowe Benedikt915589Hoek W. van der(Wiebe)1764173LOFT 8MiAaPQMiAaPQMiAaPQBOOK9910483480103321Logic and the foundations of game and decision theory - LOFT 84204917UNINA