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

Predicting Regional Classification of Levantine Ivory Sculptures: A Machine Learning Approach

Prediction of peptide bonding affinity: kernel methods for nonlinear modeling

Prediction with Restricted Resources and Finite Automata

Predictive Active Set Selection Methods for Gaussian Processes