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Balcázar, José Luis (DE-627)1234895145 (DE-576)164895140 aut, Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II edited by José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag, Berlin, Heidelberg Springer Berlin Heidelberg 2010, Online-Ressource (XXI, 518p. 145 illus, digital), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Computer Science 6322, SpringerLink Bücher, Regular Papers -- Bayesian Knowledge Corroboration with Logical Rules and User Feedback -- Learning an Affine Transformation for Non-linear Dimensionality Reduction -- NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification -- Hidden Conditional Ordinal Random Fields for Sequence Classification -- A Unifying View of Multiple Kernel Learning -- Evolutionary Dynamics of Regret Minimization -- Recognition of Instrument Timbres in Real Polytimbral Audio Recordings -- Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks -- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction -- Online Knowledge-Based Support Vector Machines -- Learning with Randomized Majority Votes -- Exploration in Relational Worlds -- Efficient Confident Search in Large Review Corpora -- Learning to Tag from Open Vocabulary Labels -- A Robustness Measure of Association Rules -- Automatic Model Adaptation for Complex Structured Domains -- Collective Traffic Forecasting -- On Detecting Clustered Anomalies Using SCiForest -- Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier -- Online Learning in Adversarial Lipschitz Environments -- Summarising Data by Clustering Items -- Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space -- Latent Structure Pattern Mining -- First-Order Bayes-Ball -- Learning from Demonstration Using MDP Induced Metrics -- Demand-Driven Tag Recommendation -- Solving Structured Sparsity Regularization with Proximal Methods -- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models -- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation -- Integrating Constraint Programming and Itemset Mining -- Topic Modeling for Personalized Recommendation of Volatile Items -- Conditional Ranking on Relational Data., Computer science, Information systems, Computer Science, Database management, Data mining, Information storage and retrieval systems, Artificial intelligence, Information theory., Application software., Data structures (Computer science)., Bonchi, Francesco oth, Gionis, Aristides oth, Sebag, Michele (DE-588)139573151 (DE-627)611427524 (DE-576)312308280 oth, 9783642158827, Buchausg. u.d.T. Machine learning and knowledge discovery in databases ; Pt. 2 Berlin : Springer, 2010 XXI, 518 S. (DE-627)1401450407 (DE-576)331450402 9783642158827 364215882X, Lecture notes in computer science 6322 6322 (DE-627)316228877 (DE-576)093890923 (DE-600)2018930-8 1611-3349 ns, https://doi.org/10.1007/978-3-642-15883-4 X:SPRINGER Verlag lizenzpflichtig Volltext, https://zbmath.org/?q=an:1197.68004 B:ZBM 2021-04-12 Verlag Zentralblatt MATH Inhaltstext, http://dx.doi.org/10.1007/978-3-642-15883-4 DE-14, DE-14 2011-07-20T14:58:08Z epn:3335702239, http://dx.doi.org/10.1007/978-3-642-15883-4 DE-15, DE-15 2011-05-16T16:33:21Z epn:333570231X, http://dx.doi.org/10.1007/978-3-642-15883-4 Zum Online-Dokument DE-Zi4, DE-Zi4 2011-01-26T14:24:52Z epn:3335702441, http://dx.doi.org/10.1007/978-3-642-15883-4 DE-520, DE-520 2010-09-01T15:39:46Z epn:3335702492 |
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Balcázar, José Luis, Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II, Lecture notes in computer science, 6322, Regular Papers -- Bayesian Knowledge Corroboration with Logical Rules and User Feedback -- Learning an Affine Transformation for Non-linear Dimensionality Reduction -- NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification -- Hidden Conditional Ordinal Random Fields for Sequence Classification -- A Unifying View of Multiple Kernel Learning -- Evolutionary Dynamics of Regret Minimization -- Recognition of Instrument Timbres in Real Polytimbral Audio Recordings -- Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks -- Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction -- Online Knowledge-Based Support Vector Machines -- Learning with Randomized Majority Votes -- Exploration in Relational Worlds -- Efficient Confident Search in Large Review Corpora -- Learning to Tag from Open Vocabulary Labels -- A Robustness Measure of Association Rules -- Automatic Model Adaptation for Complex Structured Domains -- Collective Traffic Forecasting -- On Detecting Clustered Anomalies Using SCiForest -- Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier -- Online Learning in Adversarial Lipschitz Environments -- Summarising Data by Clustering Items -- Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space -- Latent Structure Pattern Mining -- First-Order Bayes-Ball -- Learning from Demonstration Using MDP Induced Metrics -- Demand-Driven Tag Recommendation -- Solving Structured Sparsity Regularization with Proximal Methods -- Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models -- Improved MinMax Cut Graph Clustering with Nonnegative Relaxation -- Integrating Constraint Programming and Itemset Mining -- Topic Modeling for Personalized Recommendation of Volatile Items -- Conditional Ranking on Relational Data., Computer science, Information systems, Computer Science, Database management, Data mining, Information storage and retrieval systems, Artificial intelligence, Information theory., Application software., Data structures (Computer science). |
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II |
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II |
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II edited by José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag |
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II edited by José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag |
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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II edited by José Luis Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag |
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6322. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II (2010) |
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Machine Learning and Knowledge Discovery in Databases |
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machine learning and knowledge discovery in databases european conference ecml pkdd 2010 barcelona spain september 20 24 2010 proceedings part ii |
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European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II |
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Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part II |
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Computer science, Information systems, Computer Science, Database management, Data mining, Information storage and retrieval systems, Artificial intelligence, Information theory., Application software., Data structures (Computer science). |
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Computer science, Information systems, Computer Science, Database management, Data mining, Information storage and retrieval systems, Artificial intelligence, Information theory., Application software., Data structures (Computer science). |
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