The increasing number of Internet users has caused a dramatic increase in electronic commerce. This growth is outpacing technologies for dependability causing traditional views of...
Nicholas S. Bowen, Daniel C. Sturman, Tina Ting Li...
Many SMEs and non-profit organizations suffer when their Web servers become unavailable due to flash crowd effects when their web site becomes popular. One of the solutions to the ...
Jimmy Jernberg, Vladimir Vlassov, Ali Ghodsi, Seif...
As the size of distributed systems keeps growing, the peer to peer communication paradigm has been identified as the key to scalability. Peer to peer overlay networks are charact...
Erwan Le Merrer, Anne-Marie Kermarrec, Laurent Mas...
We give a new model of learning motivated by smoothed analysis (Spielman and Teng, 2001). In this model, we analyze two new algorithms, for PAC-learning DNFs and agnostically learn...
Adam Tauman Kalai, Alex Samorodnitsky, Shang-Hua T...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...