LEADER 02895nam 2200577Ia 450 001 9910456449403321 005 20200520144314.0 010 $a0-7914-8816-0 010 $a0-585-49136-4 035 $a(CKB)111087027856332 035 $a(EBL)3407911 035 $a(SSID)ssj0000163456 035 $a(PQKBManifestationID)11164591 035 $a(PQKBTitleCode)TC0000163456 035 $a(PQKBWorkID)10105626 035 $a(PQKB)10094956 035 $a(MiAaPQ)EBC3407911 035 $a(OCoLC)54029564 035 $a(MdBmJHUP)muse5905 035 $a(Au-PeEL)EBL3407911 035 $a(CaPaEBR)ebr10587109 035 $a(EXLCZ)99111087027856332 100 $a20010928d2002 ub 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aGlobal media spectacle$b[electronic resource] $enews war over Hong Kong /$fChin-Chuan Lee ... [et al.] 210 $aAlbany, NY $cState University of New York Press$dc2002 215 $a1 online resource (290 p.) 225 0$aSUNY series in global media studies 300 $aDescription based upon print version of record. 311 $a0-7914-5471-1 320 $aIncludes bibliographical references (p. 229-243) and index. 327 $a""Global Media Spectacle""; ""Contents""; ""Figures and Tables""; ""Preface""; ""Acknowledgments""; ""1. Global Event, National Prisms""; ""2. News Staging""; ""3. Domestication of Global News""; ""4. Hyping and Repairing News Paradigms""; ""5. Banging the Democracy Drum: From the Superpower""; ""6. Essentializing Colonialism: Heroes and Villains""; ""7. Defining the Nation-State: One Event, Three Stories""; ""8. Human Rights and National Interest: From the Middle Powers""; ""9. Media Event as Global Discursive Contestation""; ""Epilogue: After the Handover"" 327 $a""Appendix I: Sampled Media Organizations""""Appendix II: Interviewees""; ""Appendix III: Guideline for Interview""; ""Appendix IV: Content Analysis""; ""Appendix V: Coding Scheme""; ""Notes""; ""Chapter 1""; ""Chapter 2""; ""Chapter 5""; ""Chapter 6""; ""Chapter 7""; ""Chapter 8""; ""Chapter 9""; ""Epilogue""; ""Bibliography""; ""Authors""; ""Index""; ""A""; ""B""; ""C""; ""D""; ""E""; ""F""; ""G""; ""H""; ""I""; ""J""; ""K""; ""L""; ""M""; ""N""; ""O""; ""P""; ""R""; ""S""; ""T""; ""U""; ""V""; ""W""; ""X""; ""Y""; ""Z""; ""Photos"" 410 0$aSUNY Series in Global Media Studies 606 $aReporters and reporting 607 $aHong Kong (China)$xHistory$yTransfer of Sovereignty from Great Britain, 1997 608 $aElectronic books. 615 0$aReporters and reporting. 676 $a070.4/3 701 $aLi$b Jinquan$f1946-$0859796 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910456449403321 996 $aGlobal media spectacle$92486686 997 $aUNINA LEADER 05343nam 22006495 450 001 996466054403316 005 20200706005738.0 010 $a3-540-48096-X 024 7 $a10.1007/3-540-57370-4 035 $a(CKB)1000000000234045 035 $a(SSID)ssj0000321182 035 $a(PQKBManifestationID)11260282 035 $a(PQKBTitleCode)TC0000321182 035 $a(PQKBWorkID)10276823 035 $a(PQKB)11374565 035 $a(DE-He213)978-3-540-48096-9 035 $a(PPN)155229028 035 $a(EXLCZ)991000000000234045 100 $a20121227d1993 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAlgorithmic Learning Theory$b[electronic resource] $e4th International Workshop, ALT '93, Tokyo, Japan, November 8-10, 1993. Proceedings /$fedited by Klaus P. Jantke, Shigenobu Kobayashi, Etsuji Tomita, Takashi Yokomori 205 $a1st ed. 1993. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1993. 215 $a1 online resource (XI, 428 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v744 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-57370-4 327 $aIdentifying and using patterns in sequential data -- Learning theory toward Genome Informatics -- Optimal layered learning: A PAC approach to incremental sampling -- Reformulation of explanation by linear logic toward logic for explanation -- Towards efficient inductive synthesis of expressions from input/output examples -- A typed ?-calculus for proving-by-example and bottom-up generalization procedure -- Case-based representation and learning of pattern languages -- Inductive resolution -- Generalized unification as background knowledge in learning logic programs -- Inductive inference machines that can refute hypothesis spaces -- On the duality between mechanistic learners and what it is they learn -- On aggregating teams of learning machines -- Learning with growing quality -- Use of reduction arguments in determining Popperian FIN-type learning capabilities -- Properties of language classes with finite elasticity -- Uniform characterizations of various kinds of language learning -- How to invent characterizable inference methods for regular languages -- Neural Discriminant Analysis -- A new algorithm for automatic configuration of Hidden Markov Models -- On the VC-dimension of depth four threshold circuits and the complexity of Boolean-valued functions -- On the sample complexity of consistent learning with one-sided error -- Complexity of computing Vapnik-Chervonenkis dimension -- ?-approximations of k-label spaces -- Exact learning of linear combinations of monotone terms from function value queries -- Thue systems and DNA ? A learning algorithm for a subclass -- The VC-dimensions of finite automata with n states -- Unifying learning methods by colored digraphs -- A perceptual criterion for visually controlling learning -- Learning strategies using decision lists -- A decomposition based induction model for discovering concept clusters from databases -- Algebraic structure of some learning systems -- Induction of probabilistic rules based on rough set theory. 330 $aThis volume contains all the papers that were presented at the Fourth Workshop on Algorithmic Learning Theory, held in Tokyo in November 1993. In addition to 3 invited papers, 29 papers were selected from 47 submitted extended abstracts. The workshop was the fourth in a series of ALT workshops, whose focus is on theories of machine learning and the application of such theories to real-world learning problems. The ALT workshops have been held annually since 1990, sponsored by the Japanese Society for Artificial Intelligence. The volume is organized into parts on inductive logic and inference, inductive inference, approximate learning, query learning, explanation-based learning, and new learning paradigms. 410 0$aLecture Notes in Artificial Intelligence ;$v744 606 $aArtificial intelligence 606 $aMathematics 606 $aComputers 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/M00009 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 615 0$aArtificial intelligence. 615 0$aMathematics. 615 0$aComputers. 615 14$aArtificial Intelligence. 615 24$aMathematics, general. 615 24$aTheory of Computation. 615 24$aComputation by Abstract Devices. 676 $a006.3 702 $aJantke$b Klaus P$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKobayashi$b Shigenobu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aTomita$b Etsuji$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aYokomori$b Takashi$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996466054403316 996 $aAlgorithmic Learning Theory$9771965 997 $aUNISA LEADER 01017nam a2200277 i 4500 001 991001785949707536 008 120713s2012 it b 000 0 ita d 020 $a9788843062676 035 $ab14070406-39ule_inst 040 $aFacoltà SSPT$bita 082 0 $a182.3 100 1 $aFano, Vincenzo$079165 245 12$aI paradossi di Zenone /$cVincenzo Fano 264 1$aRoma :$bCarocci,$c2012 300 $a142 p. ;$c20 cm 490 1 $aBussole (Le) ;$v441 504 $aBibliografia: p. 129-142 600 04$aZenone :$cdi Elea$xParadossi 830 3$aLe bussole ;$v441 907 $a.b14070406$b13-11-19$c13-07-12 912 $a991001785949707536 945 $aLE021 182.30 FAN01.01$g1$i2020000043317$lle021$op$pE11.00$q-$rn$s- $t0$u0$v0$w0$x0$y.i15459482$z16-11-12 945 $aLE005 182 FAN 01.01$g1$i2005000364730$lle005$og$pE10.50$q-$rl$s- $t0$u0$v0$w0$x0$y.i15906954$z13-11-19 996 $aParadossi di Zenone$9240173 997 $aUNISALENTO 998 $ale020$ale005$b13-07-12$cm$da $e-$fita$git $h2$i0