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
Receiver Architectures for MIMO-OFDM Based on a Combined VMP-SP Algorithm
Reconstruction of Epsilon-Machines in Predictive Frameworks and Decisional States
Reduced Rank Multivariate Generalized Linear Models for Feature Extraction
Refinements of Universal Approximation Results for Deep Belief Networks and Restricted Boltzmann Machines
Regression for sets of polynomial equations
Regret Bounds for Opportunistic Channel Access
Regret lower bounds and extended Upper Confidence Bounds policies in stochastic multi-armed bandit problem
Regularization for Matrix Completion
Regularization methods for learning incomplete matrices
Regularization Strategies and Empirical Bayesian Learning for MKL
Regularized Partial Least Squares with an Application to NMR Spectroscopy
Regularized Tensor Factorizations and Higher-Order Principal Components Analysis
Regularizers for Structured Sparsity
Relative Density-Ratio Estimation for Robust Distribution Comparison
Relative Expected Improvement in Kriging Based Optimization