Semantic inference is an important component in many natural language understanding applications. Classical approaches to semantic inference rely on complex logical representation...
Roy Bar-Haim, Ido Dagan, Iddo Greental, Eyal Shnar...
c Abstraction for Worst-Case Analysis of Discrete Systems Felice Balarin Cadence Berkeley Laboratories Recently, a methodology for worst-case analysis of discrete systems has been...
Context-aware intelligent systems employ implicit inputs, and make decisions based on complex rules and machine learning models that are rarely clear to users. Such lack of system...
: Models of the association between input accuracy and output accuracy imply that, for any given application, the effect of input errors on the output error rate generally varies i...
Subgroup discovery aims at finding subsets of a population whose class distribution is significantly different from the overall distribution. A number of multi-class subgroup disc...