Optimizing an Organized Modularity Measure for Topographic Graph Clustering: a Deterministic Annealing Approach

Order-preserving factor analysis (OPFA)

Ordinal Risk-Group Classification

Overlapping Mixtures of Gaussian Processes for the Data Association Problem

PAC learnability under non-atomic measures: a problem by Vidyasagar

PAC-Bayesian Bounds for Randomized Empirical Risk Minimizers

PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification

Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning

Pair-Wise Cluster Analysis

Parameterizations and fitting of bi-directed graph models to categorical data

Penalized Likelihood Methods for Estimation of Sparse High Dimensional Directed Acyclic Graphs

Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables

Percolation Thresholds of Updated Posteriors for Tracking Causal Markov Processes in Complex Networks

Persistent Clustering and a Theorem of J. Kleinberg

Pitman-Yor Diffusion Trees

Planar Cycle Covering Graphs

Plugin procedure in segmentation and application to hyperspectral image segmentation

PMOG: The projected mixture of Gaussians model with application to blind source separation

Polynomial expansion of the binary classification function

Positive Definite Kernels in Machine Learning