The Thresholding Bandit (TB) problem is a popular sequential decision-making problem, which aims at identifying the systems whose means are greater than a threshold. Instead of working on the upper ...

In this paper, an adaptive neurodynamic algorithm based on multi-agent system is proposed to solve the multi-constraint matrix-valued optimization problem. The optimization problem with linear matrix ...

To study this problem, we formulate it into an arc-flow model and a set-partitioning model, and propose six families of valid inequalities to strengthen the set-partitioning model. Based on the ...

1. The problem of art in an infosomatic age 1.1. Infinite Signals, Diminished Presence The current actuality presents us with an unprecedented onrush of information.

Analysis of longitudinal studies is often complicated through differences amongst individuals in the number and spacing of observations. Laird and Ware (1982, Biometrics 38, 963-974) proposed a linear ...

Discover what black box models are, their applications in finance and investing, and examples of how they drive decision-making without revealing internal processes.