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Record Nr. |
UNINA9910484587603321 |
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Titolo |
Machine learning and knowledge discovery in databases [[electronic resource] ] : European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 ; proceedings . Part 3 / / Jose Luis Balcazar ... [et al.] (eds.) |
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Pubbl/distr/stampa |
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Berlin, : Springer, c2010 |
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ISBN |
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1-280-38926-5 |
9786613567185 |
3-642-15939-7 |
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Edizione |
[1st ed. 2010.] |
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Descrizione fisica |
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1 online resource (XXII, 632 p. 183 illus.) |
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Collana |
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Lecture notes in artificial intelligence ; ; 6323 |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Machine learning |
Database management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Regular Papers -- Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations -- Unsupervised Trajectory Sampling -- Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations -- Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models -- Learning with Ensembles of Randomized Trees : New Insights -- Entropy and Margin Maximization for Structured Output Learning -- Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms -- Adapting Decision DAGs for Multipartite Ranking -- Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs -- Modeling Relations and Their Mentions without Labeled Text -- An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery -- Selecting Information Diffusion Models over Social Networks for Behavioral Analysis -- Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach -- Online Structural Graph Clustering Using Frequent Subgraph Mining -- Large-Scale Support Vector Learning with Structural Kernels -- Synchronization Based Outlier Detection -- Laplacian Spectrum |
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