Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
Abstract: This paper presents SMarty, a variability management approach for UMLbased software product lines (PL). SMarty is supported by a UML profile, the SMartyProfile, and a pro...
Edson Alves de Oliveira Junior, Itana Maria de Sou...
We present a simple new Monte Carlo algorithm for evaluating probabilities of observations in complex latent variable models, such as Deep Belief Networks. While the method is bas...
Abstract. Iterative optimization has become a popular technique to obtain improvements over the default settings in a compiler for performance-critical applications, such as embedd...
Grigori Fursin, John Cavazos, Michael F. P. O'Boyl...
Abstract. This paper reconsiders the deployment of synchronous optical networks (SONET), an optimization problem naturally expressed in terms of set variables. Earlier approaches, ...