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

Replica theory for learning curves for Gaussian processes on random graphs

Reproducing Kernel Banach Spaces with the l1 Norm

Reproducing Kernel Banach Spaces with the l1 Norm II: Error Analysis for Regularized Least Square Regression

Reproducing kernels for spaces of zero mean functions. Application to sensitivity analysis

Residual Component Analysis