IEEE

Extended maximum a posteriori-based kernel classification trained by linear programming (MAPLP) with adjustment parameter (MAPLP-P) and difference-type objective function (MAPLP-D)

Abstract: Maximum a posteriori (MAP)-based kernel classification trained by linear programming (MAPLP) has previously been proposed as a new approach to MAP-based classification. As opposed to ...
Quanta Magazine

Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: maximum flow. The problem asks how much material can flow through a ...
IEEE

Efficient models for special types of non-linear maximum flow problems

Abstract: In this paper, we consider the maximum flow problem on networks with non-linear transfer functions. We consider special types of transfer functions, which are particularly relevant for ...