LEADER 01290nam2-2200409---450- 001 990005894010203316 005 20131003100628.0 010 $a978-3-8006-4515-2 035 $a000589401 035 $aUSA01000589401 035 $a(ALEPH)000589401USA01 035 $a000589401 100 $a20131003d2013----km-y0itay0103----ba 101 0 $ager 102 $aDE 105 $a||||||||001yy 200 1 $aDeliktsrecht$fHein Kötz, Wagner Gerhard 205 $a12., neu bearbeitete Auflage 210 $aMünchen$cVahlen$d2013 215 $aXXXIII, 324 p.$d21 cm 225 2 $aAcademia Iuris. Lehrbucher der rechtswissenschaft 410 0$1001000336631$aAcademia Iuris. Lehrbucher der rechtswissenschaft 606 0 $aDiritto penale$yGermania$2BNCF 676 $a346.43052 700 1$aKÖTZ,$bHein$0405612 701 1$aGERHARD,$bWagner$0617874 801 0$aIT$bsalbc$gISBD 912 $a990005894010203316 951 $aXXX.A. Coll. 115/ 86$b777942 G.$cXXX.A. Coll. 115/$d00294472 959 $aBK 969 $aGIU 979 $aFIORELLA$b90$c20131003$lUSA01$h1003 979 $aFIORELLA$b90$c20131003$lUSA01$h1003 979 $aFIORELLA$b90$c20131003$lUSA01$h1004 979 $aFIORELLA$b90$c20131003$lUSA01$h1006 996 $aDeliktsrecht$91074178 997 $aUNISA LEADER 07415nam 22008775 450 001 9910484403103321 005 20251226195906.0 010 $a3-540-74825-3 024 7 $a10.1007/978-3-540-74825-0 035 $a(CKB)1000000000490252 035 $a(SSID)ssj0000316000 035 $a(PQKBManifestationID)11207688 035 $a(PQKBTitleCode)TC0000316000 035 $a(PQKBWorkID)10255568 035 $a(PQKB)10307503 035 $a(DE-He213)978-3-540-74825-0 035 $a(MiAaPQ)EBC3063360 035 $a(MiAaPQ)EBC6711207 035 $a(Au-PeEL)EBL6711207 035 $a(OCoLC)184945427 035 $a(PPN)123164966 035 $a(EXLCZ)991000000000490252 100 $a20100301d2007 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAdvances in Intelligent Data Analysis VII $e7th International Symposium on Intelligent Data Analysis, IDA 2007, Ljubljana, Slovenia, September 6-8, 2007, Proceedings /$fedited by Michael R. Berthold, John Shawe-Taylor, Nada Lavra? 205 $a1st ed. 2007. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2007. 215 $a1 online resource (XIV, 382 p.) 225 1 $aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4723 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-74824-5 320 $aIncludes bibliographical references and index. 327 $aStatistical Data Analysis -- Compact and Understandable Descriptions of Mixtures of Bernoulli Distributions -- Multiplicative Updates for L 1?Regularized Linear and Logistic Regression -- Learning to Align: A Statistical Approach -- Transductive Reliability Estimation for Kernel Based Classifiers -- Bayesian Approaches -- Parameter Learning for Bayesian Networks with Strict Qualitative Influences -- Tree Augmented Naive Bayes for Regression Using Mixtures of Truncated Exponentials: Application to Higher Education Management -- Clustering Methods -- DENCLUE 2.0: Fast Clustering Based on Kernel Density Estimation -- Visualising the Cluster Structure of Data Streams -- Relational Topographic Maps -- Ensemble Learning -- Incremental Learning with Multiple Classifier Systems Using Correction Filters for Classification -- Combining Bagging and Random Subspaces to Create Better Ensembles -- Two Bagging Algorithms with Coupled Learners to Encourage Diversity -- Ranking -- Relational Algebra for Ranked Tables with Similarities: Properties and Implementation -- A New Way to Aggregate Preferences: Application to Eurovision Song Contests -- Trees -- Conditional Classification Trees Using Instrumental Variables -- Robust Tree-Based Incremental Imputation Method for Data Fusion -- Sequence/ Time Series Analysis -- Making Time: Pseudo Time-Series for the Temporal Analysis of Cross Section Data -- Recurrent Predictive Models for Sequence Segmentation -- Sequence Classification Using Statistical Pattern Recognition -- Knowledge Discovery -- Subrule Analysis and the Frequency-Confidence Diagram -- A Partial Correlation-Based Algorithm for Causal Structure Discovery with Continuous Variables -- Visualization -- Visualizing Sets of Partial Rankings -- A Partially Supervised Metric Multidimensional Scaling Algorithmfor Textual Data Visualization -- Landscape Multidimensional Scaling -- Text Mining -- A Support Vector Machine Approach to Dutch Part-of-Speech Tagging -- Towards Adaptive Web Mining: Histograms and Contexts in Text Data Clustering -- Does SVM Really Scale Up to Large Bag of Words Feature Spaces? -- Bioinformatics -- Noise Filtering and Microarray Image Reconstruction Via Chained Fouriers -- Motif Discovery Using Multi-Objective Genetic Algorithm in Biosequences -- Soft Topographic Map for Clustering and Classification of Bacteria -- Applications -- Fuzzy Logic Based Gait Classification for Hemiplegic Patients -- Traffic Sign Recognition Using Discriminative Local Features -- Novelty Detection in Patient Histories: Experiments with Measures Based on Text Compression. 330 $aWeareproudtopresenttheproceedingsoftheseventhbiennialconferenceinthe Intelligent Data Analysis series. The conference took place in Ljubljana, Slo- nia, September 6-8, 2007. IDA continues to expand its scope, quality and size. It started as a small side-symposium as part of a larger conference in 1995 in Baden-Baden(Germany).It quickly attractedmoreinterest in both submissions and attendance as it moved to London (1997) and then Amsterdam (1999). The next three meetings were held in Lisbon (2001), Berlin (2003) and then Madrid in 2005. The improving quality of the submissions has enabled the organizers to assemble programs of ever-increasing consistency and quality. This year we madea rigorousselectionof33papersoutofalmost100submissions.Theresu- ing oral presentations were then scheduled in a single-track, two-and-a-half-day conference program, summarized in the book that you have before you. In accordance with the stated IDA goal of ?bringing together researchers from diverse disciplines,? we believe we have achieved an excellent balance of presentationsfromthemoretheoretical?bothstatisticalandmachinelearning? to the more application-oriented areas that illustrate how these techniques can beusedinpractice.Forexample,theproceedingsincludepaperswiththeoretical contributions dealing with statistical approaches to sequence alignment as well as papers addressing practical problems in the areas of text classi?cation and medical data analysis. It is reassuring to see that IDA continues to bring such diverse areas together, thus helping to cross-fertilize these ?elds. 410 0$aInformation Systems and Applications, incl. Internet/Web, and HCI,$x2946-1642 ;$v4723 606 $aDatabase management 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aComputer science$xMathematics 606 $aMathematical statistics 606 $aPattern recognition systems 606 $aInformation technology$xManagement 606 $aDatabase Management 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 606 $aProbability and Statistics in Computer Science 606 $aAutomated Pattern Recognition 606 $aComputer Application in Administrative Data Processing 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 0$aComputer science$xMathematics. 615 0$aMathematical statistics. 615 0$aPattern recognition systems. 615 0$aInformation technology$xManagement. 615 14$aDatabase Management. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aProbability and Statistics in Computer Science. 615 24$aAutomated Pattern Recognition. 615 24$aComputer Application in Administrative Data Processing. 676 $a006.33 702 $aBerthold$b M$g(Michael), 702 $aShawe-Taylor$b John 702 $aLavrac?$b Nada 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910484403103321 996 $aAdvances in Intelligent Data Analysis VII$9772202 997 $aUNINA