We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Interest in multioutput kernel methods is increasing, whether under the guise of multitask learning, multisensor networks or structured output data. From the Gaussian process pers...
Mauricio Alvarez, David Luengo, Michalis Titsias, ...
A lapped biorthogonal transform adapted for local directionality of an image is proposed. The proposed transform consists of overlapping basis functions and non-overlapping basis ...
Computation performed in many typical aspects involve side effects. In a purely functional setting, adding such aspects using techniques such as monadification will generally lea...
Kung Chen, Jia-Yin Lin, Shu-Chun Weng, Siau-Cheng ...
— A functional approach to programming robot swarms brings with it well-defined properties that allow for automated concurrency and distributed execution. Further, the particula...