Machine Learning and Knowledge Discovery in Databases

Inhalt

Regular Papers.- Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations.- Unsupervised Trajectory Sampling.- Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations.- Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models.- Learning with Ensembles of Randomized Trees : New Insights.- Entropy and Margin Maximization for Structured Output Learning.- Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms.- Adapting Decision DAGs for Multipartite Ranking.- Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs.- Modeling Relations and Their Mentions without Labeled Text.- An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery.- Selecting Information Diffusion Models over Social Networks for Behavioral Analysis.- Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach.- Online Structural Graph Clustering Using Frequent Subgraph Mining.- Large-Scale Support Vector Learning with Structural Kernels.- Synchronization Based Outlier Detection.- Laplacian Spectrum Learning.- k-Version-Space Multi-class Classification Based on k-Consistency Tests.- Complexity Bounds for Batch Active Learning in Classification.- Semi-supervised Projection Clustering with Transferred Centroid Regularization.- Permutation Testing Improves Bayesian Network Learning.- Example-dependent Basis Vector Selection for Kernel-Based Classifiers.- Surprising Patterns for the Call Duration Distribution of Mobile Phone Users.- Variational Bayesian Mixture of Robust CCA Models.- Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis.- Topic Models Conditioned on Relations.- Shift-Invariant Grouped Multi-task Learning for Gaussian Processes.- Nonparametric Bayesian Clustering Ensembles.- Directed Graph Learning via High-Order Co-linkage Analysis.- Incorporating Domain Models into Bayesian Optimization for RL.- Efficient and Numerically Stable Sparse Learning.- Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes.- Many-to-Many Graph Matching: A Continuous Relaxation Approach.- Competitive Online Generalized Linear Regression under Square Loss.- Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning.- Fast, Effective Molecular Feature Mining by Local Optimization.- Demo Papers.- AnswerArt - Contextualized Question Answering.- Real-Time News Recommender System.- CET: A Tool for Creative Exploration of Graphs.- NewsGist: A Multilingual Statistical News Summarizer.- QUEST: Query Expansion Using Synonyms over Time.- Flu Detector - Tracking Epidemics on Twitter.- X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction.- SOREX: Subspace Outlier Ranking Exploration Toolkit.- KDTA: Automated Knowledge-Driven Text Annotation.- Detecting Events in a Million New York Times Articles.- Experience STORIES: A Visual News Search and Summarization System.- Exploring Real Mobility Data with M-Atlas.