Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
We introduce a diffusion of innovation model based on a network threshold approach. Realistic network and threshold data were gathered regarding the diffusion of new software tool...
We study the runtime distributions of backtrack procedures for propositional satisfiability and constraint satisfaction. Such procedures often exhibit a large variability in perfor...
Carla P. Gomes, Bart Selman, Nuno Crato, Henry A. ...
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...