Monotonicity constraints represent a vital form of prior knowledge in machine learning, particularly within classification tasks where a natural ordering exists among class labels. In such contexts, ...

Most axiomatic treatments of bargaining do not give a substantive role to individually irrational points. We show in this paper that it can matter greatly whether axioms and solutions are formulated ...

This is a preview. Log in through your library . Abstract In this paper we give further reduction for a general MANOVA problem, and show that the general MANOVA problem can be treated as the MANOVA ...

Digital-to-analog converters (DACs) turn bits back into sound, images, or positions. Chipmakers work very hard to create reliable and accurate DACs. Still, sometimes there is a hiccup, putting a ...