04941nam 22007695 450 99646579660331620200701231516.03-540-39624-110.1007/b14273(CKB)1000000000212225(SSID)ssj0000321175(PQKBManifestationID)11247372(PQKBTitleCode)TC0000321175(PQKBWorkID)10263622(PQKB)10983029(DE-He213)978-3-540-39624-6(MiAaPQ)EBC3087723(PPN)155202111(EXLCZ)99100000000021222520121227d2003 u| 0engurnn|008mamaatxtccrAlgorithmic Learning Theory[electronic resource] 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings /edited by Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (XII, 320 p.) Lecture Notes in Artificial Intelligence ;2842Bibliographic Level Mode of Issuance: Monograph3-540-20291-9 Includes bibliographical references at the end of each chapters and index.Invited Papers -- Abduction and the Dualization Problem -- Signal Extraction and Knowledge Discovery Based on Statistical Modeling -- Association Computation for Information Access -- Efficient Data Representations That Preserve Information -- Can Learning in the Limit Be Done Efficiently? -- Inductive Inference -- Intrinsic Complexity of Uniform Learning -- On Ordinal VC-Dimension and Some Notions of Complexity -- Learning of Erasing Primitive Formal Systems from Positive Examples -- Changing the Inference Type – Keeping the Hypothesis Space -- Learning and Information Extraction -- Robust Inference of Relevant Attributes -- Efficient Learning of Ordered and Unordered Tree Patterns with Contractible Variables -- Learning with Queries -- On the Learnability of Erasing Pattern Languages in the Query Model -- Learning of Finite Unions of Tree Patterns with Repeated Internal Structured Variables from Queries -- Learning with Non-linear Optimization -- Kernel Trick Embedded Gaussian Mixture Model -- Efficiently Learning the Metric with Side-Information -- Learning Continuous Latent Variable Models with Bregman Divergences -- A Stochastic Gradient Descent Algorithm for Structural Risk Minimisation -- Learning from Random Examples -- On the Complexity of Training a Single Perceptron with Programmable Synaptic Delays -- Learning a Subclass of Regular Patterns in Polynomial Time -- Identification with Probability One of Stochastic Deterministic Linear Languages -- Online Prediction -- Criterion of Calibration for Transductive Confidence Machine with Limited Feedback -- Well-Calibrated Predictions from Online Compression Models -- Transductive Confidence Machine Is Universal -- On the Existence and Convergence of Computable Universal Priors.Lecture Notes in Artificial Intelligence ;2842Artificial intelligenceComputersAlgorithmsMathematical logicNatural language processing (Computer science)Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computation by Abstract Deviceshttps://scigraph.springernature.com/ontologies/product-market-codes/I16013Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Mathematical Logic and Formal Languageshttps://scigraph.springernature.com/ontologies/product-market-codes/I16048Natural Language Processing (NLP)https://scigraph.springernature.com/ontologies/product-market-codes/I21040Artificial intelligence.Computers.Algorithms.Mathematical logic.Natural language processing (Computer science).Artificial Intelligence.Computation by Abstract Devices.Algorithm Analysis and Problem Complexity.Mathematical Logic and Formal Languages.Natural Language Processing (NLP).006.3/1Gavaldà Ricardedthttp://id.loc.gov/vocabulary/relators/edtJantke Klaus Pedthttp://id.loc.gov/vocabulary/relators/edtTakimoto Eijiedthttp://id.loc.gov/vocabulary/relators/edtALT 2003MiAaPQMiAaPQMiAaPQBOOK996465796603316Algorithmic Learning Theory771965UNISA03013nam 2200589 450 991082223500332120230803220902.00-19-938964-00-19-938949-7(CKB)2550000001194010(EBL)1602517(SSID)ssj0001112581(PQKBManifestationID)12487589(PQKBTitleCode)TC0001112581(PQKBWorkID)11161386(PQKB)11733957(MiAaPQ)EBC1602517(Au-PeEL)EBL1602517(CaPaEBR)ebr10829046(CaONFJC)MIL568535(OCoLC)869096217(EXLCZ)99255000000119401020140205h20142014 uy 0engur|n|---|||||txtccrLupus the essential clinician's guide /Daniel J. WallaceSecond edition.New York :Oxford University Press,2014.©20141 online resource (130 p.)Oxford American rheumatology libraryDescription based upon print version of record.0-19-936196-7 Includes bibliographical references at the end of each chapters and index.Cover; Lupus The Essential Clinician's Guide; Copyright; Contents; Chapter 1 The History of Lupus; Chapter 2 Definitions and Classification; Chapter 3 Epidemiology of Systemic Lupus Erythematosus; Chapter 4 Pathogenesis; Chapter 5 Clinical Symptoms and Signs; Chapter 6 Laboratory and Imaging Abnormalities; Chapter 7 Differential Diagnosis and Disease Associations; Chapter 8 Important Subsets and Special Considerations; Chapter 9 Methods of Clinical Ascertainment; Chapter 10 General Treatment Concepts; Chapter 11 Medications Used to Manage Lupus ErythematosusChapter 12 Economic Impact and Disability IssuesChapter 13 Prognosis; Chapter 14 Experimental and Innovative Therapies; Glossary; Appendix; IndexOne million people in the United States suffer from systemic lupus erythematosus (SLE or lupus), a chronic autoimmune disease that is potentially debilitating and sometimes fatal as the immune system attacks the body's cells and tissue, resulting in inflammation and tissue damage. SLE can affect any part of the body, but most often damages the heart, joints, skin, lungs, blood vessels, liver, kidneys and nervous system. The course of the disease is unpredictable, with periods of illness alternating with remission. It can be treated symptomatically, mainly with corticosteroids and immunosuppresOxford American Rheumatology LibraryLupus erythematosusLupus erythematosus.616.7/72Wallace Daniel J(Daniel Jeffrey),1949-1592839MiAaPQMiAaPQMiAaPQBOOK9910822235003321Lupus3956446UNINA