John Rawls’s A Theory of Justice is often treated as a fully formed philosophical monument, a sudden intervention that ...
Most economic externalities can be efficiently solved through a system of private property rights, in which costs and ...
Many engineering sectors are challenged by multi-objective optimization problems. Even if the idea behind these problems is simple and well established, the implementation of any procedure to solve ...
ABSTRACT: This study investigates several pooling risk sharing schemes and the measurement of their pool quality as peer to peer (P2P) insurance platforms. The P2P insurance is an emerging and growing ...
ABSTRACT: The task of selecting robotic mechanic assembly technologies (RMAT) is considered as a multi-criteria optimization task, which in this formulation is solved on the set of previously obtained ...
1 Oncology Research Axis, Centre de Recherche du CHU de Québec-Université Laval, Quebec City, QC, Canada 2 Department of Laboratory Medicine, CHU de Québec-Université Laval, Quebec City, QC, Canada ...
Thank you for the paper! It is inspiring that you can compress weights to about 1 bit and the model still works better than random. A practical sub-2-bit quantization algorithm would be a great boon ...
Abstract: Multiobjective optimization problems give rise to a set of Pareto-optimal (PO) solutions, each of which makes a tradeoff among the objectives. When multiple PO solutions are to be ...
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