—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Multihoming has traditionally been employed by stub networks to enhance the reliability of their network connectivity. With the advent of commercial “intelligent route controlâ€...
Aditya Akella, Bruce M. Maggs, Srinivasan Seshan, ...
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...
Preserving privacy has become a crucial requirement for operating a business that manages personal data. Hippocratic databases have been proposed to answer this requirement throug...