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
A New Ensemble Learning Algorithm Combined with Causal Analysis for Bayesian Network Structural Learning
Sign Up to like & getrecommendations! Published in 2020 at "Symmetry"
DOI: 10.3390/sym12122054
Abstract: The Bayesian Network (BN) has been widely applied to causal reasoning in artificial intelligence, and the Search-Score (SS) method has become a mainstream approach to mine causal relationships for establishing BN structure. Aiming at the… read more here.
Keywords: learning; bayesian network; structural learning; causal analysis ... See more keywords