Employing multiple kernels instead ofasingle pre-selected one, can lead toobtaining more accurate function approximation since multi-kernel learning (MKL) can learn combination of kernels [24].

Theworks[41,42]discuss theoverlapped and latent trace norm regularizations for tensors.

Live bats demonstrate that the properly used ultrasound can be used to perceive 3D space.

The reasons for this are clear.

To this end, Andrychowicz et al.[1] introduced Hindsight Experience Replay (HER), which can rapidly train goal-conditioned policies by retroactively imagining failed trajectories as successful ones.

TheMixedRegression(MR)problem considers theestimation ofK functions fromacollection of input-output samples, where for each sample, the output is generated by one of theK regression functions. When fitting linear functions in a noiseless setting, this is equivalent to solvingK linear systems, while at the same time, identifying which system each equation belongs to. The MR formulation can be employed as an approach to decompose a complicated function intoK simpler ones, by splitting the observations intoK classes.