Ebook: Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

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This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

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This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.
Content:
Front Matter....Pages -
AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy....Pages 1-16
Parallel Boosting with Momentum....Pages 17-32
Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm....Pages 33-48
Learning Discriminative Sufficient Statistics Score Space for Classification....Pages 49-64
The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited....Pages 65-80
Bundle CDN: A Highly Parallelized Approach for Large-Scale ℓ1-Regularized Logistic Regression....Pages 81-95
MORD: Multi-class Classifier for Ordinal Regression....Pages 96-111
Identifiability of Model Properties in Over-Parameterized Model Classes....Pages 112-127
Exploratory Learning....Pages 128-143
Semi-supervised Gaussian Process Ordinal Regression....Pages 144-159
Influence of Graph Construction on Semi-supervised Learning....Pages 160-175
Tractable Semi-supervised Learning of Complex Structured Prediction Models....Pages 176-191
PSSDL: Probabilistic Semi-supervised Dictionary Learning....Pages 192-207
Embedding with Autoencoder Regularization....Pages 208-223
Reduced-Rank Local Distance Metric Learning....Pages 224-239
Learning Exemplar-Represented Manifolds in Latent Space for Classification....Pages 240-255
Locally Linear Landmarks for Large-Scale Manifold Learning....Pages 256-271
Discovering Skylines of Subgroup Sets....Pages 272-287
Difference-Based Estimates for Generalization-Aware Subgroup Discovery....Pages 288-303
Local Outlier Detection with Interpretation....Pages 304-320
Anomaly Detection in Vertically Partitioned Data by Distributed Core Vector Machines....Pages 321-336
Mining Outlier Participants: Insights Using Directional Distributions in Latent Models....Pages 337-352
Anonymizing Data with Relational and Transaction Attributes....Pages 353-369
Privacy-Preserving Mobility Monitoring Using Sketches of Stationary Sensor Readings....Pages 370-386
Evasion Attacks against Machine Learning at Test Time....Pages 387-402
The Top-k Frequent Closed Itemset Mining Using Top-k SAT Problem....Pages 403-418
A Declarative Framework for Constrained Clustering....Pages 419-434
SNNAP: Solver-Based Nearest Neighbor for Algorithm Portfolios....Pages 435-450
Area under the Precision-Recall Curve: Point Estimates and Confidence Intervals....Pages 451-466
Incremental Sensor Placement Optimization on Water Network....Pages 467-482
Detecting Marionette Microblog Users for Improved Information Credibility....Pages 483-498
Will My Question Be Answered? Predicting “Question Answerability” in Community Question-Answering Sites....Pages 499-514
Learning to Detect Patterns of Crime....Pages 515-530
Space Allocation in the Retail Industry: A Decision Support System Integrating Evolutionary Algorithms and Regression Models....Pages 531-546
Forest-Based Point Process for Event Prediction from Electronic Health Records....Pages 547-562
On Discovering the Correlated Relationship between Static and Dynamic Data in Clinical Gait Analysis....Pages 563-578
Computational Drug Repositioning by Ranking and Integrating Multiple Data Sources....Pages 579-594
Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling....Pages 595-611
A Theoretical Framework for Exploratory Data Mining: Recent Insights and Challenges Ahead....Pages 612-616
Tensor Factorization for Multi-relational Learning....Pages 617-621
MONIC and Followups on Modeling and Monitoring Cluster Transitions....Pages 622-626
Towards Robot Skill Learning: From Simple Skills to Table Tennis....Pages 627-631
Functional MRI Analysis with Sparse Models....Pages 632-636
Image Hub Explorer: Evaluating Representations and Metrics for Content-Based Image Retrieval and Object Recognition....Pages 637-640
Ipseity – A Laboratory for Synthesizing and Validating Artificial Cognitive Systems in Multi-agent Systems....Pages 641-644
OpenML: A Collaborative Science Platform....Pages 645-649
ViperCharts: Visual Performance Evaluation Platform....Pages 650-653
Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia....Pages 654-658
Hermoupolis: A Trajectory Generator for Simulating Generalized Mobility Patterns....Pages 659-662
AllAboard: A System for Exploring Urban Mobility and Optimizing Public Transport Using Cellphone Data....Pages 663-666
ScienScan – An Efficient Visualization and Browsing Tool for Academic Search....Pages 667-671
InVis: A Tool for Interactive Visual Data Analysis....Pages 672-676
Kanopy: Analysing the Semantic Network around Document Topics....Pages 677-680
SCCQL : A Constraint-Based Clustering System....Pages 681-684
Back Matter....Pages -