As an extension of Bayesian network, module network is an appropriate model for inferring causal network of a mass of variables from insufficient evidences. However learning such ...
The Minimax Probability Machine (MPM) constructs a classifier, which provides a worst-case bound on the probability of misclassification of future data points based on reliable ...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
The semantics of class-based languages can be defined in terms of objects only [8, 7, 1] if classes are viewed as objects with a constructor method. One obtains a store in which m...
Buffer insertion seeks to place buffers on the wires of a signal net to minimize delay. Van Ginneken [14] proposed an optimal dynamic programming solution (with extensions propose...
Kowalski and Sergot’s Event Calculus (EC) is a simple temporal formalism that, given a set of event occurrences, derives the maximal validity intervals (MVIs) over which propert...