— Granular computing unifies structured thinking, structured problem solving and structured information processing. In order to see the flexibility and universal applicability ...
Insights into branch predictor organization and operation can be used in architecture-aware compiler optimizations to improve program performance. Unfortunately, such details are ...
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...
Fei Yan, Josef Kittler, Krystian Mikolajczyk, Muha...
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
An approach to automatically identify the stereotypes of all the methods in an entire system is presented. A taxonomy for object-oriented class method stereotypes is given that un...
Natalia Dragan, Michael L. Collard, Jonathan I. Ma...