Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
The Delaunay triangulation and its dual the Voronoi diagram are ubiquitous geometric complexes. From a topological standpoint, the connection has recently been made between these ...
Increasingly, network operators do not directly operate computers on their network, yet are responsible for assessing network vulnerabilities to ensure compliance with policies ab...
Genevieve Bartlett, John S. Heidemann, Christos Pa...
It has frequently been observed that most of the world’s data lies outside database systems. The reason is that database systems focus on structured data, leaving the unstructur...
Alon Y. Halevy, Oren Etzioni, AnHai Doan, Zachary ...