The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
We use the concept of conditional mutual information (MI) to approach problems involving the selection of variables in the area of medical diagnosis. Computing MI requires estimate...
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
This paper describes a specialized interface to PVS called TAME (Timed Automata Modeling Environment) which provides automated support for proving properties of I/O automata. A maj...
Myla Archer, Constance L. Heitmeyer, Elvinia Ricco...
—In this paper, we present and analyze the properties of a new class of games - the spatial congestion game (SCG), which is a generalization of the classical congestion game (CG)...
Sahand Haji Ali Ahmad, Cem Tekin, Mingyan Liu, Ric...