Quantile regression refers to the process of estimating the quantiles of a conditional distribution and has many important applications within econometrics and data mining, among ...
Novi Quadrianto, Kristian Kersting, Mark D. Reid, ...
We propose a regularization method for solving ill-posed problems, under the assumption that the solutions are piecewise constant functions with unknown level sets and unknown leve...
In traditional overlay multicast network, all peers are treated as equal regardless of their importance and contribution to the network. In this paper, we consider that each user ...
— Target tracking among obstacles is an interesting class of motion planning problems that combine the usual motion constraints with robot sensors’ visibility constraints. In t...
Tirthankar Bandyopadhyay, Yuanping Li, Marcelo H. ...
In case the objective function to be minimized is not known analytically and no assumption can be made about the single extremum, global optimization (GO) methods must be used. Pap...