We propose a well-founded method of ranking a pool of m trained classifiers by their suitability for the current input of n instances. It can be used when dynamically selecting a s...
A method is proposed for semiparametric estimation where parametric and nonparametric criteria are exploited in density estimation and unsupervised learning. This is accomplished ...
We propose in this paper a distributed packed storage format that exploits the symmetry or the triangular structure of a dense matrix. This format stores only half of the matrix w...
Marc Baboulin, Luc Giraud, Serge Gratton, Julien L...
We present BSGP, a new programming language for general purpose computation on the GPU. A BSGP program looks much the same as a sequential C program. Programmers only need to supp...
Most application provenance systems are hard coded for a particular type of system or data, while current provenance file systems maintain in-memory provenance graphs and reside i...
Richard P. Spillane, Russell Sears, Chaitanya Yala...