This paper describes a parameter estimation method for multi-label classification that does not rely on approximate inference. It is known that multi-label classification involvin...
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...
Simulation is an essential tool for performance evaluation of many practical systems where planners typically want to know how the system will perform under various parameter sett...
The traditional use of formal methods has been for the veri cation of algorithms or protocols. Given the high cost and limitations in state space coverage provided by conventional...