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

Preference elicitation and inverse reinforcement learning

Principal Component Analysis with Contaminated Data: The High Dimensional Case

Probabilistic analysis of the human transcriptome with side information

Probabilistic coherence and proper scoring rules

Probabilistic Recovery of Multiple Subspaces in Point Clouds by Geometric lp Minimization

Protocols for Learning Classifiers on Distributed Data

Proximal Methods for Hierarchical Sparse Coding

Pruning nearest neighbor cluster trees

Qualitative Robustness of Support Vector Machines

Query Learning with Exponential Query Costs

Quilting Stochastic Kronecker Product Graphs to Generate Multiplicative Attribute Graphs

Random Forests for Metric Learning with Implicit Pairwise Position Dependence

Random Forests: some methodological insights

Random projection trees for vector quantization

Ranking via Sinkhorn Propagation

Reading Dependencies from Covariance Graphs