rs to become familiar with abstract modeling concepts or difficult language syntax. This is a departure from traditional visual interface development tools, in which developers sel...
Model-Based Diagnosis (MBD) typically focuses on diagnoses, minimal under some minimality criterion, e.g., the minimal-cardinality set of faulty components that explain an observa...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
From the recovery of structure from motion to the separation of style and content, many problems in computer vision have been successfully approached by using bilinear models. The...
— We revisit the problem of synthesis of service composition in the context of service oriented architecture from a tree automata perspective. Comparing to existing finite state...
As Bayesian networks become widely accepted as a normative formalism for diagnosis based on probabilistic knowledge, they are applied to increasingly larger problem domains. These...
Yanping Xiang, Kristian G. Olesen, Finn Verner Jen...