Moment based estimation of stochastic Kronecker graph parameters
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Multi-stage Convex Relaxation for Feature Selection
Multi-Task Output Space Regularization
Multi-view predictive partitioning in high dimensions
Multi-Way, Multi-View Learning
Multidimensional Scaling in the Poincaré Disk
Multiple Change-Point Estimation in Stationary Ergodic Time-Series
Multiple Gaussian Process Models
Multiple Hypothesis Testing in Pattern Discovery
Multiple Kernel Learning: A Unifying Probabilistic Viewpoint
Multiple Operator-valued Kernel Learning