Machine Learning and Knowledge Discovery in Databases

- Regular Papers
- Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines
- A Convex Method for Locating Regions of Interest with Multi-instance Learning
- Active Learning for Reward Estimation in Inverse Reinforcement Learning
- Simulated Iterative Classification A New Learning Procedure for Graph Labeling
- Graph-Based Discrete Differential Geometry for Critical Instance Filtering
- Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
- Neural Networks for State Evaluation in General Game Playing
- Learning to Disambiguate Search Queries from Short Sessions
- Dynamic Factor Graphs for Time Series Modeling
- On Feature Selection, Bias-Variance, and Bagging
- Efficient Pruning Schemes for Distance-Based Outlier Detection
- The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
- Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification
- The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases
- On Discriminative Parameter Learning of Bayesian Network Classifiers
- Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint
- Classifier Chains for Multi-label Classification
- Dependency Tree Kernels for Relation Extraction from Natural Language Text
- Statistical Relational Learning with Formal Ontologies
- Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
- Capacity Control for Partially Ordered Feature Sets
- Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known
- Identifying the Original Contribution of a Document via Language Modeling
- Relaxed Transfer of Different Classes via Spectral Partition
- Mining Databases to Mine Queries Faster
- MACs: Multi-Attribute Co-clusters with High Correlation Information
- Bi-directional Joint Inference for Entity Resolution and Segmentation Using