The field of transfer learning aims to speed up learning across multiple related tasks by transferring knowledge between source and target tasks. Past work has shown that when th...
VRML offers a high potential for product presentation: Instead of regarding flat, static pictures, configurable and animated 3D models embedded in entertaining environments provid...
Distributed Denial of Service (DDoS) attacks exploit the acute imbalance between client and server workloads to cause devastation to the service providers. We propose a distribute...
David Mankins, Rajesh Krishnan, Ceilyn Boyd, John ...
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...