Explores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.
Explores knowledge inference, embedding techniques, and schema matching in data integration.
Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.
Covers optimization methods, focusing on gradient methods and line search techniques.
Focuses on the inference of reaction kinetics in combustion, covering rules inference, sensitivity analysis, and Bayesian inference.
Explores degree of freedom analysis, redundancy, and data reconciliation in process modeling and optimization.
