Adaptive mesh refinement (AMR) is a powerful technique that reduces the resources necessary to solve otherwise intractable problems in computational science. The AMR strategy solv...
Michael L. Welcome, Charles A. Rendleman, Leonid O...
xample-Guided Abstraction Refinement for Symbolic Model Checking EDMUND CLARKE YUAN LU Carnegie Mellon University, Pittsburgh, Pennsylvania Broadcom Co., San Jose, California ORNA ...
Edmund M. Clarke, Orna Grumberg, Somesh Jha, Yuan ...
We study the consistency problem for extended global cardinality (EGC) constraints. An EGC constraint consists of a set X of variables, a set D of values, a domain D(x) D for eac...
Many machine learning algorithms require the summation of Gaussian kernel functions, an expensive operation if implemented straightforwardly. Several methods have been proposed to...
Vlad I. Morariu, Balaji Vasan Srinivasan, Vikas C....
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
Hiroaki Tanabe, Tu Bao Ho, Canh Hao Nguyen, Saori ...