Abstract: This paper focuses on the problem of low-rank tensor completion, the goal of which is to recover an underlying low-rank tensor from incomplete observations. Our method is motivated by the ...
Abstract: This paper presents a method to compute an approximate explicit model predictive control (MPC) law using neural networks. The optimal MPC control law for constrained linear quadratic ...
a, c, Observed rsc matrices for two subsets of sessions grouped by task context, as indicated in b. The matrices were obtained by pooling the set of rsc measurements made within each subset and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results