Concept
Mean absolute error
Publications associées (174)
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We apply diffusion strategies to propose a cooperative reinforcement learning algorithm, in which agents in a network communicate with their neighbors to improve predictions about their environment. The algorithm is suitable to learn off-policy even in lar ...
IEEE2013A Recommender System Based on Belief Propagation over Pairwise Markov Random Fields
Recommender systems enable service providers to predict and address the individual needs of their customers so as to deliver personalized experiences. In this paper, we formulate the recommendation problem as an inference problem on a Pairwise Markov Rando ...
Ieee2013Bayesian Estimation for Continuous-Time Sparse Stochastic Processes
Michaël Unser, Arash Amini, Emrah Bostan, Ulugbek Kamilov
We consider continuous-time sparse stochastic processes from which we have only a finite number of noisy/noiseless samples. Our goal is to estimate the noiseless samples (denoising) and the signal in-between (interpolation problem). By relying on tools fro ...
Ieee-Inst Electrical Electronics Engineers Inc2013MMSE Estimation of Sparse Levy Processes
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We investigate a stochastic signal-processing framework for signals with sparse derivatives, where the samples of a Levy process are corrupted by noise. The proposed signal model covers the well-known Brownian motion and piecewise-constant Poisson process; ...
Ieee-Inst Electrical Electronics Engineers Inc2013