LEADER 07408nam 2200853Ia 450 001 9910964937403321 005 20200520144314.0 010 $a9786613302847 010 $a9780262297899 010 $a0262297892 010 $a9781283302845 010 $a1283302845 024 8 $a9786613302847 024 8 $a99952600993 035 $a(CKB)3330000000000106 035 $a(EBL)3339310 035 $a(SSID)ssj0000539758 035 $a(PQKBManifestationID)11339775 035 $a(PQKBTitleCode)TC0000539758 035 $a(PQKBWorkID)10580990 035 $a(PQKB)10937649 035 $a(OCoLC)758384972$z(OCoLC)766417417$z(OCoLC)778616598$z(OCoLC)816867514$z(OCoLC)961619660$z(OCoLC)962692133$z(OCoLC)966255483$z(OCoLC)988408134$z(OCoLC)992030970$z(OCoLC)995029221$z(OCoLC)1037932629$z(OCoLC)1038696068$z(OCoLC)1045523529$z(OCoLC)1058175671$z(OCoLC)1062970938$z(OCoLC)1066406052$z(OCoLC)1081226157 035 $a(OCoLC-P)758384972 035 $a(MaCbMITP)8996 035 $a(Au-PeEL)EBL3339310 035 $a(CaPaEBR)ebr10504740 035 $a(CaONFJC)MIL330284 035 $a(OCoLC)758384972 035 $z(PPN)170244695 035 $a(PPN)158467647 035 $a(FR-PaCSA)88803298 035 $a(MiAaPQ)EBC3339310 035 $a(FRCYB88803298)88803298 035 $a(EXLCZ)993330000000000106 100 $a20110209d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aOptimization for machine learning /$fedited by Suvrit Sra, Sebastian Nowozin, and Stephen J. Wright 205 $a1st ed. 210 $aCambridge, Mass. $cMIT Press$dc2012 215 $a1 online resource (509 p.) 225 1 $aNeural information processing series 300 $aDescription based upon print version of record. 311 08$a9780262016469 311 08$a026201646X 311 08$a9780262298773 311 08$a0262298775 320 $aIncludes bibliographical references. 327 $aContents; Series Foreword; Preface; Chapter 1. Introduction: Optimization and Machine Learning; 1.1 Support Vector Machines; 1.2 Regularized Optimization; 1.3 Summary of the Chapters; 1.4 References; Chapter 2. Convex Optimization with Sparsity-Inducing Norms; 2.1 Introduction; 2.2 Generic Methods; 2.3 Proximal Methods; 2.4 (Block) Coordinate Descent Algorithms; 2.5 Reweighted- 2 Algorithms; 2.6 Working-Set Methods; 2.7 Quantitative Evaluation; 2.8 Extensions; 2.9 Conclusion; 2.10 References; Chapter 3. Interior-Point Methods for Large-Scale Cone Programming; 3.1 Introduction 327 $a3.2 Primal-Dual Interior-Point Methods3.3 Linear and Quadratic Programming; 3.4 Second-Order Cone Programming; 3.5 Semidefinite Programming; 3.6 Conclusion; 3.7 References; Chapter 4. Incremental Gradient, Subgradient, and Proximal Methods for Convex Optimization: A Survey; 4.1 Introduction; 4.2 Incremental Subgradient-Proximal Methods; 4.3 Convergence for Methods with Cyclic Order; 4.4 Convergence for Methods with Randomized Order; 4.5 Some Applications; 4.6 Conclusions; 4.7 References; Chapter 5. First-Order Methods for Nonsmooth Convex Large-Scale Optimization, I: General Purpose Methods 327 $a5.1 Introduction5.2 Mirror Descent Algorithm: Minimizing over a Simple Set; 5.3 Problems with Functional Constraints; 5.4 Minimizing Strongly Convex Functions; 5.5 Mirror Descent Stochastic Approximation; 5.6 Mirror Descent for Convex-Concave Saddle-Point Problems; 5.7 Setting up a Mirror Descent Method; 5.8 Notes and Remarks; 5.9 References; Chapter 6. First-Order Methods for Nonsmooth Convex Large-Scale Optimization, II: Utilizing Problem's Structure; 6.1 Introduction; 6.2 Saddle-Point Reformulations of Convex Minimization Problems; 6.3 Mirror-Prox Algorithm 327 $a6.4 Accelerating the Mirror-Prox Algorithm6.5 Accelerating First-Order Methods by Randomization; 6.6 Notes and Remarks; 6.7 References; Chapter 7. Cutting-Plane Methods in Machine Learning; 7.1 Introduction to Cutting-plane Methods; 7.2 Regularized Risk Minimization; 7.3 Multiple Kernel Learning; 7.4 MAP Inference in Graphical Models; 7.5 References; Chapter 8. Introduction to Dual Decomposition for Inference; 8.1 Introduction; 8.2 Motivating Applications; 8.3 Dual Decomposition and Lagrangian Relaxation; 8.4 Subgradient Algorithms; 8.6 Relations to Linear Programming Relaxations 327 $a8.7 Decoding: Finding the MAP Assignment8.8 Discussion; Appendix: Technical Details; 8.10 References; 8.5 Block Coordinate Descent Algorithms; Chapter 9. Augmented Lagrangian Methods for Learning, Selecting, and Combining Features; 9.1 Introduction; 9.2 Background; 9.3 Proximal Minimization Algorithm; 9.4 Dual Augmented Lagrangian (DAL) Algorithm; 9.5 Connections; 9.6 Application; 9.7 Summary; Acknowledgment; Appendix: Mathematical Details; 9.9 References; Chapter 10. The Convex Optimization Approach to Regret Minimization; 10.1 Introduction; 10.2 The RFTL Algorithm and Its Analysis 327 $a10.3 The "Primal-Dual" Approach 330 $aAn up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new optimization ideas. This book captures the state of the art of the interaction between optimization and machine learning in a way that is accessible to researchers in both fields.Optimization approaches have enjoyed prominence in machine learning because of their wide applicability and attractive theoretical properties. The increasing complexity, size, and variety of today's machine learning models call for the reassessment of existing assumptions. This book starts the process of reassessment. It describes the resurgence in novel contexts of established frameworks such as first-order methods, stochastic approximations, convex relaxations, interior-point methods, and proximal methods. It also devotes attention to newer themes such as regularized optimization, robust optimization, gradient and subgradient methods, splitting techniques, and second-order methods. Many of these techniques draw inspiration from other fields, including operations research, theoretical computer science, and subfields of optimization. The book will enrich the ongoing cross-fertilization between the machine learning community and these other fields, and within the broader optimization community. 410 0$aNeural information processing series. 606 $aMachine learning$xMathematical models 606 $aMathematical optimization 615 0$aMachine learning$xMathematical models. 615 0$aMathematical optimization. 676 $a006.3/1 701 $aSra$b Suvrit$f1976-$01797830 701 $aNowozin$b Sebastian$f1980-$01797831 701 $aWright$b Stephen J.$f1960-$055245 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910964937403321 996 $aOptimization for machine learning$94340311 997 $aUNINA LEADER 10662nam 2200721 a 450 001 9910964300203321 005 20240516042028.0 010 $a9786613059451 010 $a9789027289131 010 $a9027289131 010 $a9781283059459 010 $a1283059452 035 $a(CKB)2550000000032501 035 $a(SSID)ssj0000472072 035 $a(PQKBManifestationID)12193010 035 $a(PQKBTitleCode)TC0000472072 035 $a(PQKBWorkID)10429358 035 $a(PQKB)10587204 035 $a(MiAaPQ)EBC680189 035 $a(Au-PeEL)EBL680189 035 $a(CaPaEBR)ebr10462990 035 $a(CaONFJC)MIL305945 035 $a(OCoLC)713010211 035 $a(DE-B1597)721726 035 $a(DE-B1597)9789027289131 035 $a(EXLCZ)992550000000032501 100 $a20101209d2011 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPhilosophical perspectives for pragmatics /$fedited by Marina Sbisa?, Jan-Ola O?stman and Jef Verschueren 205 $a1st ed. 210 $aAmsterdam ;$aPhiladelphia [Pa.] $cJohn Benjamins Pub. Co.$d2011 215 $axiv, 318 p 225 1 $aHandbook of pragmatics highlights ;$vv. 10 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9789027207876 311 08$a9027207879 320 $aIncludes bibliographical references and index. 327 $aPhilosophical Perspectives for Pragmatics -- Editorial page -- Title page -- LCC data -- Table of Contents -- Preface to the series -- Acknowledgements -- Introduction -- 1. Pragmatics and philosophy -- 2. Conceptions of meaning -- 3. Speech as action -- 4. Mind and self -- 5. Doing pragmatics, doing philosophy -- References -- Analytical philosophy Ordinary language philosophy -- 1. Philosophy as analysis -- 1.1 The 'linguistic turn' -- 1.2 The influence of Frege -- 1.3 Analysis in G.E. Moore and B. Russell -- 2. Analysis and the ideal of scientific language -- 2.1 Wittgenstein's Tractatus -- 2.2 Rudolf Carnap and the Encyclopedia of unified science -- 3. Analysis and ordinary language -- 3.1 The evolution of Wittgenstein's thought -- 3.2 Wittgenstein's influence and ordinary language philosophy -- 3.3 Some Oxford philosophers -- 3.3.1 J. L. Austin -- 3.3.2 P. F. Strawson -- 3.3.3 H. P. Grice -- 4. Further developments of analytical philosophy -- 4.1 W. V. O. Quine: From analysis to naturalization -- 4.2 From intensional semantics to discourse representation theory -- 4.3 Meaning and understanding -- 4.4 Philosophy of mind -- 5. Analytical philosophy and pragmatics -- References -- John L. Austin -- 1. J. L. Austin and his approach to philosophy -- 1.1 Austin's philosophical method -- 1.2 Linguistic phenomenology" -- 1.3 General tendencies -- 2. Epistemology -- 2.1 Knowledge and belief -- 2.2 Perception -- 3. Philosophy of language -- 3.1 Meaning -- 3.2 Performative utterances -- 3.3 Assertion and truth -- 3.4 The speech act -- 4. Philosophy of action -- 4.1 Action -- 4.2 Freedom and responsibility -- 5. Austin and pragmatics -- References -- Mikhail Bakhtin -- 1. Biographical sketch -- 2. The 'Bakhtin industry' -- 3. Bakhtin's view of language -- 3.1 Dialogue -- 3.2 Heteroglossia -- 3.3 Polyphony -- 3.4 Metalinguistics -- 3.5 Speech genres. 327 $a3.6 Chronotope -- 3.7. Carnival -- 4. Conclusion -- References -- Contextualism -- 1. Two perspectives -- 2. Semantic minimalism -- 3. Indexicalism -- 4. Radical contextualism -- 4.1 Overview -- 4.2 Wittgenstein, Austin, Searle, and Travis -- 4.3 Motivations for radical contextualism -- 4.4 Objections to radical contextualism -- 5. Nonindexical contextualism -- 6. Conclusion -- References -- Deconstruction -- 1.Introduction -- 2. Historical background -- 3. Basic tenets -- 4. Deconstruction in literature and linguistics -- 5. Against deconstruction -- References -- Epistemology -- References -- Epistemology of testimony -- References -- Michel Foucault -- 1. Introduction -- 2. Foucault and the discursive turn -- 2.1 Discourse as a practice -- 2.2 Discourse, knowledge and power -- 3. The order of discourse -- 4. Rethinking the analytical practice -- 5. Conclusions -- References -- H.P. Grice -- 1. Life -- 2. Language -- 2.1 Meaning -- 2.2 The conversationalist hypothesis -- 2.3 Rationality -- 3. Value and the new metaphysics -- 3.1 Creature construction -- 3.2 Absolute value (Kantotle) -- 4. Concluding remarks -- 5. Further reading -- References -- Hermeneutics -- 1. Introduction -- 2. The origins of hermeneutic thinking -- 3. Some aspects of the evolution of hermeneutic thinking -- 4. The nature of the hermeneutic enterprise and the hermeneutical circle -- 5. Linguistics and hermeneutics -- 5.1 Structuralism -- 5.2 Linguistic anthropology -- 5.3 Cognitive linguistics -- 5.4 Conversation analysis -- References -- Indexicals and Demonstratives -- 1. Introduction -- 2. Indexical expressions -- 3. Demonstratives, pure indexicals, and essential indexicals -- 4. Indexicals as singular terms -- 5. Indexicals and anaphors -- 6. Indexicals and contexts -- 7. Conclusion -- References -- Intensional logic -- 1. The distinction between intension and extension. 327 $a2. The principle of extensionality and its failures -- 3. The Frege-Carnap treatment of intensional contexts -- 4. The problem of hybrid contexts -- 5. Intensional constructions in natural language: the montagovian paradigm -- 6. Inadequacies of the standard semantics of intensional logic -- 7. Hyperintensionality -- 8. Propositional attitudes and pragmatics -- 9. Intension, compositionality and context-dependence -- References -- Modal Logic -- 1. The development of modal logic -- 2. Irving Lewis' contribution -- 3. What is modal logic all about? -- 4. Quantified modal logic -- 5. Tense logic -- 6. From tense logic to pragmatics -- References -- Model-theoretic semantics -- 1. The meeting of two different approaches to semantics -- 2. The basic notions of Tarski's semantics -- 3. The scope and limits of Tarski's semantics -- 4. Generalized quantifiers -- 5. The layers of contexts -- 6. A model-theory for contexts -- References -- Charles Morris -- 1. Morris's behavioristics and pragmatics -- 2. Morris's pragmatics and Peirce's pragmaticism: Towards a 'behavioral semiotic' -- 3. Pragmatic philosophy in the United States -- 4. Pragmatics, signs and values -- References -- Notation in formal semantics -- 1. Objectives -- 2. Principles -- 3. The basis: Predicate logic and model theory -- 4. Semantic types -- 5. Lambda abstraction and lambda conversion -- 6. Quantifiers -- 7. Intensionality -- 8. Contexts -- 9. List of some frequently used symbols -- References -- Phenomenology -- 1. The study of 'phenomena' -- 2. History and basic tenets of the phenomenological movement -- 3. Phenomenology, linguistics, and the social sciences -- 4. Implications for pragmatics -- References -- Philosophy of action -- References -- Philosophy of language -- 1. Introduction -- 2. Natural language -- 3. Certain aspects of natural language -- 4. Programmatic theories. 327 $aReferences -- Philosophy of mind -- 1. Philosophy of mind naturalized -- 2. The mind-body problem -- 3. The problem of intentionality or the status of folk psychology -- 4. Psychosemantics -- 5. Cognitive pragmatics -- References -- Possible worlds semantics -- 1. Some logical problems -- 2. The emergence of possible worlds semantics -- 3. Key concepts of possible worlds semantics -- 4. From possible worlds semantics to pragmatics -- References -- Reference and descriptions -- 1. Do proper names describe? -- 1.1 Gottlob Frege -- 1.2 Bertrand Russell -- 1.3 John Searle -- 1.4 Taking stock -- 1.5 Saul Kripke -- 2. Do definite descriptions refer? -- 2.1 Russell again -- 2.2 Peter Strawson -- 2.3 Keith Donnellan -- 3. One further issue: semantics versus pragmatics -- References -- Truth-conditional semantics -- 1. The Basics -- 2. Short history and key names -- 3. Brief comparison with other approaches to linguistic meaning -- 4. Truth-conditional semantics and pragmatics -- 4.1 Indexicality -- 4.2 Non-truth-conditional aspects of semantics -- References -- Universal and transcendental pragmatics -- 1. Origins -- 2 Habermas' universal pragmatics. -- 3. Apel's transcendental pragmatics. -- References -- Ludwig Wittgenstein -- 1. Biographical sketch -- 2. General characteristics of Wittgenstein's conception of philosophy -- 3. The Tractatus and the picture-theory of meaning -- 4. Logical constants and the doctrine of saying and showing -- 5. Wittgenstein's later philosophy -- 6. Influence -- References -- Index -- The series Handbook of Pragmatics Highlights. 330 $aThe ten volumes of Handbook of Pragmatics Highlights focus on the most salient topics in the field of pragmatics, thus dividing its wide interdisciplinary spectrum in a transparent and manageable way. While the other volumes select specific cognitive, grammatical, social, cultural, variational, interactional, or discursive angles, this 10th volume focuses on the interface between pragmatics and philosophy and reviews the philosophical background from which pragmatics has taken inspiration and with which it is constantly confronted. It provides the reader with information about authors relevant to the development of pragmatics, trends or areas in philosophy that are relevant for the definition of the main concepts in pragmatics or the characterization of its cultural context, the neighbouring field of semantics (with particular respect to truth-conditional semantics and some main branches of formal semantics), and recent philosophical debates that involve pragmatic notions such as indexicality and context. While most of the references are to the analytic philosophical field, also perspectives in so-called continental philosophy are taken into account. The introductory chapter outlines some unifying routes of reflection as regards meaning, speech as action, and self and mind, and suggests some connections between doing pragmatics and doing philosophy. 410 0$aHandbook of pragmatics highlights ;$vv. 10. 606 $aPragmatics 606 $aLinguistics$xPhilosophy 615 0$aPragmatics. 615 0$aLinguistics$xPhilosophy. 676 $a302.44 686 $aCC 4800$qBVB$2rvk 701 $aSbisa?$b Marina$0143969 701 $aO?stman$b Jan-Ola$0436528 701 $aVerschueren$b Jef$0158632 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910964300203321 996 $aPhilosophical perspectives for pragmatics$94345611 997 $aUNINA