Learning Bregman Distance Functions for Structural Learning to Rank
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2654250
Abstract: We study content-based learning to rank from the perspective of learning distance functions. Standardly, the two key issues of learning to rank, feature mappings and score functions, are usually modeled separately, and the learning is… read more here.
Keywords: learning rank; distance; structural learning; distance functions ... See more keywords
Asymptotically quasi-nonexpansive mappings with respect to the Bregman distance in the intermediate sense
Sign Up to like & getrecommendations! Published in 2017 at "Fixed Point Theory"
DOI: 10.24193/fpt-ro.2017.1.31
Abstract: The purpose of this paper is to introduce a new class of nonlinear mappings which is an extension of asymptotically quasi-nonexpansive mappings with respect to the Bregman distance in the intermediate sense. A strong convergence… read more here.
Keywords: asymptotically quasi; respect bregman; nonexpansive mappings; bregman distance ... See more keywords