This paper presents a computationally efficient method for binary classification using Manski’s (1975,1985) maximum score ...

This letter proposes a machine learning-based linear programming model that quickly establishes the nonparametric prediction intervals of wind power by integrating extreme learning machine and ...

Frank Foti, executive chairman at Telos Alliance, tells Jenny Priestley about his work to revolutionise audio with an upmixing technology that transforms stereo into immersive 5.1 surround sound ...

Data science techniques are the tools in a data scientist's toolbox — each one suited to a specific kind of problem. Whether it's sorting, predicting, or discovering hidden patterns, there's a method ...

The aim of this paper is to introduce a formulation of linear programming problems involving triangular intuitionistic fuzzy numbers for the objecive coefficient. We propose a new method for solving ...

EPFL researchers have developed a new imaging method using a single-photon camera that can characterize thousands of ...

New applications often require new materials. Quite often, materials are needed that do not occur naturally or have very ...

Scientists at Lawrence Livermore National Laboratory (LLNL) and their collaborators have created a new class of programmable ...

Anthropic, Google, and others are developing better ways for agents to interact with our programs and each other, but there’s ...

The Institute for Computer-Aided Reasoning in Mathematics (ICARM) — one of just six mathematics institutes across the U.S. to receive NSF support — will help researchers modernize mathematical ...

Our BSc Computer Games Programming course is designed for those passionate about the technical aspects of game development. With a strong focus on programming, computer science, and the theoretical ...

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