LEADER 04274nam 2200673 a 450 001 9910785426003321 005 20230124190120.0 010 $a1-283-05840-5 010 $a9786613058409 010 $a0-226-51199-5 024 7 $a10.7208/9780226511993 035 $a(CKB)2670000000066626 035 $a(EBL)648144 035 $a(OCoLC)701704591 035 $a(SSID)ssj0000468881 035 $a(PQKBManifestationID)11288346 035 $a(PQKBTitleCode)TC0000468881 035 $a(PQKBWorkID)10507407 035 $a(PQKB)10484790 035 $a(MiAaPQ)EBC648144 035 $a(DE-B1597)535792 035 $a(DE-B1597)9780226511993 035 $a(Au-PeEL)EBL648144 035 $a(CaPaEBR)ebr10442169 035 $a(CaONFJC)MIL305840 035 $a(EXLCZ)992670000000066626 100 $a19951207d1996 uy 0 101 0 $aeng 135 $aurnn#---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aError and the growth of experimental knowledge$b[electronic resource] /$fDeborah G. Mayo 210 $aChicago $cUniversity of Chicago Press$d1996 215 $a1 online resource (512 p.) 225 1 $aScience and its conceptual foundations 300 $aDescription based upon print version of record. 311 0 $a0-226-51198-7 311 0 $a0-226-51197-9 320 $aIncludes bibliographical references (p. 465-480) and index. 327 $tFront matter --$tContents --$tPreface --$t1. Learning from Error --$t2. Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper --$t3. The New Experimentalism and the Bayesian Way --$t4. Duhem, Kuhn, and Bayes --$t5. Models of Experimental Inquiry --$t6. Severe Tests and Methodological Underdetermination --$t7. The Experimental Basis from Which to Test Hypotheses: Brownian Motion --$t8. Severe Tests and Novel Evidence --$t9. Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance --$t10. Why You Cannot Be Just a Little Bit Bayesian --$t11. Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics --$t12. Error Statistics and Peircean Error Correction --$t13. Toward an Error-Statistical Philosophy of Science --$tReferences --$tIndex 330 $aWe may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis. 410 0$aScience and its conceptual foundations. 606 $aError analysis (Mathematics) 606 $aBayesian statistical decision theory 606 $aScience$xPhilosophy 610 $aexperimental knowledge, statistical inference, error-statistical approach, experiment, analysis, objectivity, rationality, logical inconsistencies, error, errors, mathematics, math, bayesian decision theory, science, methodological underdetermination, brownian motion, neyman-pearson predesignationist stance, peircean correction, inquiry. 615 0$aError analysis (Mathematics) 615 0$aBayesian statistical decision theory. 615 0$aScience$xPhilosophy. 676 $a001.4/34 700 $aMayo$b Deborah G$01499290 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910785426003321 996 $aError and the growth of experimental knowledge$93734250 997 $aUNINA LEADER 07673nam 22008055 450 001 9910144345003321 005 20200707001939.0 010 $a3-540-30213-1 024 7 $a10.1007/b100941 035 $a(CKB)1000000000212586 035 $a(DE-He213)978-3-540-30213-1 035 $a(SSID)ssj0000252473 035 $a(PQKBManifestationID)11219492 035 $a(PQKBTitleCode)TC0000252473 035 $a(PQKBWorkID)10179745 035 $a(PQKB)10731456 035 $a(MiAaPQ)EBC3087967 035 $a(PPN)155226584 035 $a(EXLCZ)991000000000212586 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aString Processing and Information Retrieval $e11th International Conference, SPIRE 2004, Padova, Italy, October 5-8, 2004. Proceedings /$fedited by Alberto Apostolico, Massimo Melucci 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XIV, 334 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3246 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-23210-9 320 $aIncludes bibliographical references and index. 327 $aEfficient One Dimensional Real Scaled Matching -- Linear Time Algorithm for the Longest Common Repeat Problem -- Automaton-Based Sublinear Keyword Pattern Matching -- Techniques for Efficient Query Expansion -- Inferring Query Performance Using Pre-retrieval Predictors -- A Scalable System for Identifying Co-derivative Documents -- Searching for a Set of Correlated Patterns -- Linear Nondeterministic Dawg String Matching Algorithm (Abstract) -- Permuted and Scaled String Matching -- Bit-Parallel Branch and Bound Algorithm for Transposition Invariant LCS -- A New Feature Normalization Scheme Based on Eigenspace for Noisy Speech Recognition -- Fast Detection of Common Sequence Structure Patterns in RNAs -- An Efficient Algorithm for the Longest Tandem Scattered Subsequence Problem -- Automatic Document Categorization Based on k-NN and Object-Based Thesauri -- Indexing Text Documents Based on Topic Identification -- Cross-Comparison for Two-Dimensional Text Categorization -- DDOC: Overlapping Clustering of Words for Document Classification -- Evaluation of Web Page Representations by Content Through Clustering -- Evaluating Relevance Feedback and Display Strategies for Searching on Small Displays -- Information Extraction by Embedding HMM to the Set of Induced Linguistic Features -- Finding Cross-Lingual Spelling Variants -- An Efficient Index Data Structure with the Capabilities of Suffix Trees and Suffix Arrays for Alphabets of Non-negligible Size -- An Alphabet-Friendly FM-Index -- Concurrency Control and I/O-Optimality in Bulk Insertion -- Processing Conjunctive and Phrase Queries with the Set-Based Model -- Metric Indexing for the Vector Model in Text Retrieval -- Negations and Document Length in Logical Retrieval -- An Improvement and an Extension on the Hybrid Index for Approximate String Matching -- First Huffman, Then Burrows-Wheeler: A Simple Alphabet-Independent FM-Index -- Metric Indexes for Approximate String Matching in a Dictionary -- Simple Implementation of String B-Trees -- Alphabet Permutation for Differentially Encoding Text -- A Space-Saving Linear-Time Algorithm for Grammar-Based Compression -- Simple, Fast, and Efficient Natural Language Adaptive Compression -- Searching XML Documents Using Relevance Propagation -- Dealing with Syntactic Variation Through a Locality-Based Approach -- Efficient Extraction of Structured Motifs Using Box-Links -- Efficient Computation of Balancedness in Binary Sequence Generators -- On Asymptotic Finite-State Error Repair -- New Algorithms for Finding Monad Patterns in DNA Sequences -- Motif Extraction from Weighted Sequences -- Longest Motifs with a Functionally Equivalent Central Block -- On the Transformation Distance Problem -- On Classification of Strings. 330 $aThe papers contained in this volume were presented at the 11th Conference on String Processing and Information Retrieval (SPIRE), held Oct. 5?8, 2004 at the Department of Information Engineering of the University of Padova, Italy. They wereselected from 123 paperssubmitted in responseto the call for papers. In addition, there were invited lectures by C.J. van Rijsbergen (University of Glasgow, UK) and Setsuo Arikawa (Kyushu University, Japan). In view of the large number of good-quality submissions, some were accepted this year also as short abstracts. These also appear in the proceedings. Papers solicited for SPIRE 2004 were meant to constitute original contri- tions to areas such as string pattern searching, matching and discovery; data compression; text and data mining; machine learning; tasks, methods, al- rithms, media, and evaluation in information retrieval; digital libraries; and - plications to and interactions with domains such as genome analysis,speech and naturallanguageprocessing,Web links and communities, and multilingual data. SPIRE has its origins in the South American Workshop on String Proce- ing which was ?rst held in 1993. Starting in 1998, the focus of the symposium was broadened to include the area of information retrieval due to the common emphasisoninformationprocessing.The?rst10meetingswereheldinBeloH- izonte (Brazil, 1993), Valparaiso (Chile, 1995), Recife (Brazil, 1996), Valparaiso (Chile, 1997), Santa Cruz (Bolivia, 1998), Cancun (Mexico, 1999), A Coruna ? (Spain, 2000), Laguna San Rafael (Chile, 2001), Lisbon (Portugal, 2002), and Manaus (Brazil, 2003). 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3246 606 $aData structures (Computer science) 606 $aInformation storage and retrieval 606 $aArtificial intelligence 606 $aDatabase management 606 $aCoding theory 606 $aInformation theory 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 606 $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 615 0$aData structures (Computer science) 615 0$aInformation storage and retrieval. 615 0$aArtificial intelligence. 615 0$aDatabase management. 615 0$aCoding theory. 615 0$aInformation theory. 615 14$aData Structures and Information Theory. 615 24$aInformation Storage and Retrieval. 615 24$aArtificial Intelligence. 615 24$aDatabase Management. 615 24$aData Structures. 615 24$aCoding and Information Theory. 676 $a005.52 |2 22 702 $aApostolico$b Alberto$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMelucci$b Massimo$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144345003321 996 $aString Processing and Information Retrieval$92569423 997 $aUNINA