LEADER 06132nam 22007215 450 001 996465802503316 005 20200706075234.0 010 $a3-540-44596-X 024 7 $a10.1007/3-540-44596-X 035 $a(CKB)1000000000211532 035 $a(SSID)ssj0000324577 035 $a(PQKBManifestationID)11251059 035 $a(PQKBTitleCode)TC0000324577 035 $a(PQKBWorkID)10313148 035 $a(PQKB)11075703 035 $a(DE-He213)978-3-540-44596-8 035 $a(MiAaPQ)EBC3071933 035 $a(PPN)155211811 035 $a(EXLCZ)991000000000211532 100 $a20121227d2001 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine Learning and Data Mining in Pattern Recognition$b[electronic resource] $eSecond International Workshop, MLDM 2001, Leipzig, Germany, July 25-27, 2001. Proceedings /$fedited by Petra Perner 205 $a1st ed. 2001. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2001. 215 $a1 online resource (363 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v2123 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-42359-1 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aInvited Paper -- Technology of Text Mining -- Evaluation of Clinical Relevance of Clinical Laboratory Investigations by Data Mining -- Case-Based Reasoning and Associative Memory -- Temporal Abstractions and Case-Based Reasoning for Medical Course Data: Two Prognostic Applications -- Are Case-Based Reasoning and Dissimilarity-Based Classification Two Sides of the Same Coin? -- FAM-Based Fuzzy Inference for Detecting Shot Transitions -- Rule Induction and Grammars -- Rule-Based Ensemble Solutions for Regression -- Learning XML Grammars -- First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps -- Clustering and Conceptual Clustering -- Concepts Learning with Fuzzy Clustering and Relevance Feedback -- LC: A Conceptual Clustering Algorithm -- Data Mining on Signal, Images, Text and Temporal-Spatial Data -- Data Mining Approach Based on Information-Statistical Analysis: Application to Temporal-Spatial Data -- A Hybrid Tool for Data Mining in Picture Archiving System -- Feature Selection for a Real-World Learning Task -- Automatic Identification of Diatoms Using Decision Forests -- Validation of Text Clustering Based on Document Contents -- Nonlinear Function Learning and Neural Net Based Learning -- Statistical and Neural Approaches for Estimating Parameters of a Speckle Model Based on the Nakagami Distribution -- How to Automate Neural Net Based Learning -- Nonlinear Function Learning and Classification Using Optimal Radial Basis Function Networks -- Learning for Handwriting Recognition -- Local Learning Framework for Recognition of Lowercase Handwritten Characters -- Mirror Image Learning for Handwritten Numeral Recognition -- Statistical and Evolutionary Learning -- Face Detection by Aggregated Bayesian Network Classifiers -- Towards Self-Exploring Discriminating Features -- PCA-Based Model Selection and Fitting for Linear Manifolds -- Statistics of Flow Vectors and Its Application to the Voting Method for the Detection of Flow Fields -- On the Use of Pairwise Comparison of Hypotheses in Evolutionary Learning Applied to Learning from Visual Examples -- Featureless Pattern Recognition in an Imaginary Hilbert Space and Its Application to Protein Fold Classification -- Content-Based Image Retrieval -- Adaptive Query Shifting for Content-Based Image Retrieval -- Content-Based Similarity Assessment in Multi-segmented Medical Image Data Bases. 330 $aThis book constitutes the refereed proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition, MLDM 2001, held in Leipzig, Germany in July 2001. The 26 revised full papers presented together with two invited papers were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in topical sections on case-based reasoning and associative memory; rule induction and grammars; clustering and conceptual clustering; data mining on signals, images, and spatio-temporal data; nonlinear function learning and neural net based learning; learning for handwriting recognition; statistical and evolutionary learning; and content-based image retrieval. 410 0$aLecture Notes in Artificial Intelligence ;$v2123 606 $aPattern recognition 606 $aOptical data processing 606 $aArtificial intelligence 606 $aMathematical logic 606 $aInformation storage and retrieval 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aPattern recognition. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 0$aMathematical logic. 615 0$aInformation storage and retrieval. 615 14$aPattern Recognition. 615 24$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 615 24$aMathematical Logic and Formal Languages. 615 24$aInformation Storage and Retrieval. 676 $a006.3/1 702 $aPerner$b Petra$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational Workshop MLDM 2001 906 $aBOOK 912 $a996465802503316 996 $aMachine Learning and Data Mining in Pattern Recognition$9772451 997 $aUNISA