Expected similarity estimation for large-scale batch and streaming anomaly detection
Sparse and low-rank matrix regularization for learning time-varying Markov networks
Variance-constrained actor-critic algorithms for discounted and average reward MDPs
A semiparametric method for clustering mixed data
Context-based unsupervised ensemble learning and feature ranking
An empirical study on image bag generators for multi-instance learning
An aggregate and iterative disaggregate algorithm with proven optimality in machine learning
Bayesian multi-tensor factorization
Learning deterministic probabilistic automata from a model checking perspective
Commentary: a decomposition of the outlier detection problem into a set of supervised learning problems
Special issue on discovery science
Explaining mixture models through semantic pattern mining and banded matrix visualization
Subjective interestingness of subgraph patterns
Learning rules for multi-label classification: a stacking and a separate-and-conquer approach
Sequential anomalies: a study in the Railway Industry