Tag: representation learning

A new survey in Artificial Intelligence Review unifies probabilistic, clustering and deep representation-learning approaches for inferring hidden system states from ...

Researchers have developed two frameworks that fuse network embeddings with spatial homophily to estimate social influence in location-based social networks ...

Researchers have developed CurvBi, a framework that unites four-dimensional bicomplex algebra with Fisher-Rao-based Riemannian fusion to improve multimodal knowledge graph ...

Researchers have developed a unified graph-based recommendation method that sequences online learning resources according to conceptual dependencies and learner behavior.