This paper presents an analytical model to predict the performance of general-purpose applications on a GPU architecture. The model is designed to provide performance information ...
Sara S. Baghsorkhi, Matthieu Delahaye, Sanjay J. P...
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Denial-of-Service (DoS) and Distributed DoS (DDoS) attacks can cause serious problems in wireless networks due to its limited network/host resources. Attacker traceback is a promi...
The widespread adoption of XML holds out the promise that document structure can be exploited to specify precise database queries. However, the user may have only a limited knowle...
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...