Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II

This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers presented together with 13 demo track papers, 10 nectar track papers, 8 PhD track papers, and 9 invited talks were carefully reviewed and selected from 550 submissions. The papers cover the latest high-quality interdisciplinary research results in all areas related to machine learning and knowledge discovery in databases. Front Matter....Pages - Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle....Pages 1-17 Reliability Maps: A Tool to Enhance Probability Estimates and Improve Classification Accuracy....Pages 18-33 Causal Clustering for 2-Factor Measurement Models....Pages 34-49 Support Vector Machines for Differential Prediction....Pages 50-65 Fast LSTD Using Stochastic Approximation: Finite Time Analysis and Application to Traffic Control....Pages 66-81 Mining Top-K Largest Tiles in a Data Stream....Pages 82-97 Ranked Tiling....Pages 98-113 Fast Estimation of the Pattern Frequency Spectrum....Pages 114-129 Recurrent Greedy Parsing with Neural Networks....Pages 130-144 FILTA: Better View Discovery from Collections of Clusterings via Filtering....Pages 145-160 Nonparametric Markovian Learning of Triggering Kernels for Mutually Exciting and Mutually Inhibiting Multivariate Hawkes Processes....Pages 161-176 Learning Binary Codes with Bagging PCA....Pages 177-192 Conic Multi-task Classification....Pages 193-208 Bi-directional Representation Learning for Multi-label Classification....Pages 209-224 Optimal Thresholding of Classifiers to Maximize F1 Measure....Pages 225-239 Randomized Operating Point Selection in Adversarial Classification....Pages 240-255 Hierarchical Latent Tree Analysis for Topic Detection....Pages 256-272 Bayesian Models for Structured Sparse Estimation via Set Cover Prior....Pages 273-289 Preventing Over-Fitting of Cross-Validation with Kernel Stability....Pages 290-305 Experimental Design in Dynamical System Identification: A Bandit-Based Active Learning Approach....Pages 306-321 On the Null Distribution of the Precision and Recall Curve....Pages 322-337 Linear State-Space Model with Time-Varying Dynamics....Pages 338-353 An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions....Pages 354-369 GMRF Estimation under Topological and Spectral Constraints....Pages 370-385 Rate-Constrained Ranking and the Rate-Weighted AUC....Pages 386-403 Rate-Oriented Point-Wise Confidence Bounds for ROC Curves....Pages 404-421 A Fast Method of Statistical Assessment for Combinatorial Hypotheses Based on Frequent Itemset Enumeration....Pages 422-436 Large-Scale Multi-label Text Classification — Revisiting Neural Networks....Pages 437-452 Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains....Pages 453-468 A Unified Framework for Probabilistic Component Analysis....Pages 469-484 Flexible Shift-Invariant Locality and Globality Preserving Projections....Pages 485-500 Interactive Knowledge-Based Kernel PCA....Pages 501-516 A Two-Step Learning Approach for Solving Full and Almost Full Cold Start Problems in Dyadic Prediction....Pages 517-532 Deterministic Feature Selection for Regularized Least Squares Classification....Pages 533-548 Boosted Bellman Residual Minimization Handling Expert Demonstrations....Pages 549-564 Semi-supervised Learning Using an Unsupervised Atlas....Pages 565-580 A Lossless Data Reduction for Mining Constrained Patterns in n -ary Relations....Pages 581-596 Interestingness-Driven Diffusion Process Summarization in Dynamic Networks....Pages 597-613 Neural Gaussian Conditional Random Fields....Pages 614-629 Cutset Networks: A Simple, Tractable, and Scalable Approach for Improving the Accuracy of Chow-Liu Trees....Pages 630-645 Boosted Mean Shift Clustering....Pages 646-661 Hypernode Graphs for Spectral Learning on Binary Relations over Sets....Pages 662-677 Discovering Dynamic Communities in Interaction Networks....Pages 678-693 Anti-discrimination Analysis Using Privacy Attack Strategies....Pages 694-710 Back Matter....Pages -