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

Front Matter....Pages -
Incremental Local Evolutionary Outlier Detection for Dynamic Social Networks....Pages 1-15
How Long Will She Call Me? Distribution, Social Theory and Duration Prediction....Pages 16-31
Discovering Nested Communities....Pages 32-47
CSI: Community-Level Social Influence Analysis....Pages 48-63
Supervised Learning of Syntactic Contexts for Uncovering Definitions and Extracting Hypernym Relations in Text Databases....Pages 64-79
Error Prediction with Partial Feedback....Pages 80-94
Boot-Strapping Language Identifiers for Short Colloquial Postings....Pages 95-111
A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions....Pages 112-127
Learning Socially Optimal Information Systems from Egoistic Users....Pages 128-144
Socially Enabled Preference Learning from Implicit Feedback Data....Pages 145-160
Cross-Domain Recommendation via Cluster-Level Latent Factor Model....Pages 161-176
Minimal Shrinkage for Noisy Data Recovery Using Schatten- p Norm Objective....Pages 177-193
Noisy Matrix Completion Using Alternating Minimization....Pages 194-209
A Nearly Unbiased Matrix Completion Approach....Pages 210-225
A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank....Pages 226-241
Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization....Pages 242-255
Maximum Entropy Models for Iteratively Identifying Subjectively Interesting Structure in Real-Valued Data....Pages 256-271
An Analysis of Tensor Models for Learning on Structured Data....Pages 272-287
Learning Modewise Independent Components from Tensor Data Using Multilinear Mixing Model....Pages 288-303
Taxonomic Prediction with Tree-Structured Covariances....Pages 304-319
Position Preserving Multi-Output Prediction....Pages 320-335
Structured Output Learning with Candidate Labels for Local Parts....Pages 336-352
Shared Structure Learning for Multiple Tasks with Multiple Views....Pages 353-368
Using Both Latent and Supervised Shared Topics for Multitask Learning....Pages 369-384
Probabilistic Clustering for Hierarchical Multi-Label Classification of Protein Functions....Pages 385-400
Multi-core Structural SVM Training....Pages 401-416
Multi-label Classification with Output Kernels....Pages 417-432
Boosting for Unsupervised Domain Adaptation....Pages 433-448
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines....Pages 449-464
A Layered Dirichlet Process for Hierarchical Segmentation of Sequential Grouped Data....Pages 465-482
A Bayesian Classifier for Learning from Tensorial Data....Pages 483-498
Prediction with Model-Based Neutrality....Pages 499-514
Decision-Theoretic Sparsification for Gaussian Process Preference Learning....Pages 515-530
Variational Hidden Conditional Random Fields with Coupled Dirichlet Process Mixtures....Pages 531-547
Sparsity in Bayesian Blind Source Separation and Deconvolution....Pages 548-563
Nested Hierarchical Dirichlet Process for Nonparametric Entity-Topic Analysis....Pages 564-579
Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models....Pages 580-595
Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation....Pages 596-611
Greedy Part-Wise Learning of Sum-Product Networks....Pages 612-627
From Topic Models to Semi-supervised Learning: Biasing Mixed-Membership Models to Exploit Topic-Indicative Features in Entity Clustering....Pages 628-642
Hub Co-occurrence Modeling for Robust High-Dimensional k NN Classification....Pages 643-659
Fast k NN Graph Construction with Locality Sensitive Hashing....Pages 660-674
Mixtures of Large Margin Nearest Neighbor Classifiers....Pages 675-688
Back Matter....Pages -