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Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, proceedings. Part I / Dimitrios Gunopulos [and others] (eds.).

By: ECML PKDD (Conference) (2011 : Athens, Greece)Contributor(s): Gunopulos, Dimitrios, 1967-Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 6911. | Lecture notes in computer science | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Berlin ; New York : Springer, ©2011. Description: 1 online resource (xxx, 649 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9783642237805; 3642237800Subject(s): Machine learning -- Congresses | Data mining -- Congresses | Databases -- Congresses | Data mining | Databases | Machine learningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.3/1 LOC classification: Q325.5 | .E26 2011Online resources: Click here to access online
Contents:
Note continued: COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs / Giorgio Valentini -- Regularized Sparse Kernel Slow Feature Analysis / Klaus Obermayer -- Sclecting-the-Best Method for Budgeted Model Selection / Olivier Caelen -- Robust Ranking Methodology Based on Diverse Calibration of AdaBoost / Gyorgy Szarvas -- Active Learning of Model Parameters for Influence Maximization / Song Wang -- Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process / Wray Buntine -- Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning / Sang-Hyeun Park -- Learning Recommendations in Social Media Systems by Weighting Multiple Relations / Boris Chidlovskii -- Clustering Rankings in the Fourier Domain / Jeremie Jakubowicz -- PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator / Johann Laurent -- Datum-Wise Classification: A Sequential Approach to Sparsity / Patrick Gallinari -- Manifold Coarse Graining for Online Semi-supervised Learning / Mohammad Hossein Rohban -- Learning from Partially Annotated Sequences / Ulf Brefeld -- Minimum Transfer Cost Principle for Model-Order Selection / Joachim M. Buhmann -- Geometric Approach to Find Nondominated Policies to Imprecise Reward MDPs / Anna Helena Reali Costa -- Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs / Michel Verleysen -- Building Sparse Support Vector Machines for Multi-Instance Classification / Dengsheng Zhang -- Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes / David Barber -- Unsupervised Modeling of Partially Observable Environments / Jurgen Schmidhuber -- Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss / Slobodan Vucetic
Note continued: Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space / Daniel Paurat -- Linear Discriminant Dimensionality Reduction / Jiawei Han -- DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors / Thomas Seidl -- Learning the Parameters of Probabilistic Logic Programs from Interpretations / Luc De Raedt -- Feature Selection Stability Assessment Based on the Jensen-Shannon Divergence / Rocio Alaiz-Rodriguez -- Mining Actionable Partial Orders in Collections of Sequences / Abderrahim Labbi -- Game Theoretic Framework for Data Privacy Preservation in Recommender Systems / Iordanis Koutsopoulos.
Summary: This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.
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Includes bibliographical references and author index.

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains.

Note continued: COSNet: A Cost Sensitive Neural Network for Semi-supervised Learning in Graphs / Giorgio Valentini -- Regularized Sparse Kernel Slow Feature Analysis / Klaus Obermayer -- Sclecting-the-Best Method for Budgeted Model Selection / Olivier Caelen -- Robust Ranking Methodology Based on Diverse Calibration of AdaBoost / Gyorgy Szarvas -- Active Learning of Model Parameters for Influence Maximization / Song Wang -- Sampling Table Configurations for the Hierarchical Poisson-Dirichlet Process / Wray Buntine -- Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning / Sang-Hyeun Park -- Learning Recommendations in Social Media Systems by Weighting Multiple Relations / Boris Chidlovskii -- Clustering Rankings in the Fourier Domain / Jeremie Jakubowicz -- PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator / Johann Laurent -- Datum-Wise Classification: A Sequential Approach to Sparsity / Patrick Gallinari -- Manifold Coarse Graining for Online Semi-supervised Learning / Mohammad Hossein Rohban -- Learning from Partially Annotated Sequences / Ulf Brefeld -- Minimum Transfer Cost Principle for Model-Order Selection / Joachim M. Buhmann -- Geometric Approach to Find Nondominated Policies to Imprecise Reward MDPs / Anna Helena Reali Costa -- Label Noise-Tolerant Hidden Markov Models for Segmentation: Application to ECGs / Michel Verleysen -- Building Sparse Support Vector Machines for Multi-Instance Classification / Dengsheng Zhang -- Lagrange Dual Decomposition for Finite Horizon Markov Decision Processes / David Barber -- Unsupervised Modeling of Partially Observable Environments / Jurgen Schmidhuber -- Tracking Concept Change with Incremental Boosting by Minimization of the Evolving Exponential Loss / Slobodan Vucetic

Note continued: Fast and Memory-Efficient Discovery of the Top-k Relevant Subgroups in a Reduced Candidate Space / Daniel Paurat -- Linear Discriminant Dimensionality Reduction / Jiawei Han -- DB-CSC: A Density-Based Approach for Subspace Clustering in Graphs with Feature Vectors / Thomas Seidl -- Learning the Parameters of Probabilistic Logic Programs from Interpretations / Luc De Raedt -- Feature Selection Stability Assessment Based on the Jensen-Shannon Divergence / Rocio Alaiz-Rodriguez -- Mining Actionable Partial Orders in Collections of Sequences / Abderrahim Labbi -- Game Theoretic Framework for Data Privacy Preservation in Recommender Systems / Iordanis Koutsopoulos.

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