Machine learning algorithms for event detection
A multivariate Bayesian scan statistic for early event detection and characterization
Fast adaptive algorithms for abrupt change detection
Increasing coverage to improve detection of network and host anomalies
Learning to detect incidents from noisily labeled data
Guest Editorial: Learning from multiple sources
Temporal kernel CCA and its application in multimodal neuronal data analysis
Decomposing the tensor kernel support vector machine for neuroscience data with structured labels
Multi-view kernel construction
Composite kernel learning
A co-classification approach to learning from multilingual corpora
Multi-domain learning by confidence-weighted parameter combination
A theory of learning from different domains
Ensemble clustering using semidefinite programming with applications
Infinite factorization of multiple non-parametric views
Inductive transfer for learning Bayesian networks