Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I

Front Matter....Pages I-LVIII
Front Matter....Pages 1-1
Data Split Strategiesfor Evolving Predictive Models....Pages 3-19
Discriminative Interpolation for Classification of Functional Data....Pages 20-36
Fast Label Embeddings via Randomized Linear Algebra....Pages 37-51
Maximum Entropy Linear Manifold for Learning Discriminative Low-Dimensional Representation....Pages 52-67
Novel Decompositions of Proper Scoring Rules for Classification: Score Adjustment as Precursor to Calibration....Pages 68-85
Parameter Learning of Bayesian Network Classifiers Under Computational Constraints....Pages 86-101
Predicting Unseen Labels Using Label Hierarchies in Large-Scale Multi-label Learning....Pages 102-118
Regression with Linear Factored Functions....Pages 119-134
Ridge Regression, Hubness, and Zero-Shot Learning....Pages 135-151
Solving Prediction Games with Parallel Batch Gradient Descent....Pages 152-167
Structured Regularizer for Neural Higher-Order Sequence Models....Pages 168-183
Versatile Decision Trees for Learning Over Multiple Contexts....Pages 184-199
When is Undersampling Effective in Unbalanced Classification Tasks?....Pages 200-215
Front Matter....Pages 217-217
A Kernel-Learning Approach to Semi-supervised Clustering with Relative Distance Comparisons....Pages 219-234
Bayesian Active Clustering with Pairwise Constraints....Pages 235-250
ConDist: A Context-Driven Categorical Distance Measure....Pages 251-266
Discovering Opinion Spammer Groups by Network Footprints....Pages 267-282
Gamma Process Poisson Factorization for Joint Modeling of Network and Documents....Pages 283-299
Generalization in Unsupervised Learning....Pages 300-317
Front Matter....Pages 318-334
Solving a Hard Cutting Stock Problem by Machine Learning and Optimisation....Pages 217-217
Front Matter....Pages 335-347
Markov Blanket Discovery in Positive-Unlabelled and Semi-supervised Data....Pages 349-349
Multi-view Semantic Learning for Data Representation....Pages 351-366
Unsupervised Feature Analysis with Class Margin Optimization....Pages 367-382
Front Matter....Pages 383-398
Ageing-Based Multinomial Naive Bayes Classifiers Over Opinionated Data Streams....Pages 399-399
Drift Detection Using Stream Volatility....Pages 401-416
Early Classification of Time Series as a Non Myopic Sequential Decision Making Problem....Pages 417-432
Ising Bandits with Side Information....Pages 433-447
Refined Algorithms for Infinitely Many-Armed Bandits with Deterministic Rewards....Pages 448-463
Front Matter....Pages 464-479
An Empirical Investigation of Minimum Probability Flow Learning Under Different Connectivity Patterns....Pages 481-481
Difference Target Propagation....Pages 483-497
Online Learning of Deep Hybrid Architectures for Semi-supervised Categorization....Pages 498-515
Scoring and Classifying with Gated Auto-Encoders....Pages 516-532
Sign Constrained Rectifier Networks with Applications to Pattern Decompositions....Pages 533-545
Aggregation Under Bias: Rényi Divergence Aggregation and Its Implementation via Machine Learning Markets....Pages 546-559
Front Matter....Pages 560-574
Higher Order Fused Regularization for Supervised Learning with Grouped Parameters....Pages 575-575
Joint Semi-supervised Similarity Learning for Linear Classification....Pages 577-593
Learning Compact and Effective Distance Metrics with Diversity Regularization....Pages 594-609
Scalable Metric Learning for Co-Embedding....Pages 610-624
Front Matter....Pages 625-642
Adaptive Stochastic Primal-Dual Coordinate Descent for Separable Saddle Point Problems....Pages 643-643
Front Matter....Pages 645-658
Hash Function Learning via Codewords....Pages 643-643
HierCost: Improving Large Scale Hierarchical Classification with Cost Sensitive Learning....Pages 659-674
Large Scale Optimization with Proximal Stochastic Newton-Type Gradient Descent....Pages 675-690
Back Matter....Pages 691-704
....Pages 705-709