Machine Learning and Knowledge Discovery in Databases

ThousandLogs: Uncovering Hidden Structures in Massive System Event Logs.- Conference Mining via Generalized Topic Modeling.- Within-Network Classification Using Local Structure Similarity.- Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC).- Kernel Polytope Faces Pursuit.- Soft Margin Trees.- Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs.- Margin and Radius Based Multiple Kernel Learning.- Inference and Validation of Networks.- Binary Decomposition Methods for Multipartite Ranking.- Leveraging Higher Order Dependencies between Features for Text Classification.- Syntactic Structural Kernels for Natural Language Interfaces to Databases.- Active and Semi-supervised Data Domain Description.- A Matrix Factorization Approach for Integrating Multiple Data Views.- Transductive Classification via Dual Regularization.- Stable and Accurate Feature Selection.- Efficient Sample Reuse in EM-Based Policy Search.- Applying Electromagnetic Field Theory Concepts to Clustering with Constraints.- An ?1 Regularization Framework for Optimal Rule Combination.- A Generic Approach to Topic Models.- Feature Selection by Transfer Learning with Linear Regularized Models.- Integrating Logical Reasoning and Probabilistic Chain Graphs.- Max-Margin Weight Learning for Markov Logic Networks.- Parameter-Free Hierarchical Co-clustering by n-Ary Splits.- Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts.- Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks.- Kernel-Based Copula Processes.- Compositional Models for Reinforcement Learning.- Feature Selection for Value Function Approximation Using Bayesian Model Selection.- Learning Preferences with Hidden Common Cause Relations.- Feature Selection for Density Level-Sets.- Efficient Multi-start Strategies for Local Search Algorithms.- Considering Unseen States as Impossible in Factored Reinforcement Learning.- Relevance Grounding for Planning in Relational Domains.