Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
Markov decision processes (MDPs) and contingency planning (CP) are two widely used approaches to planning under uncertainty. MDPs are attractive because the model is extremely gen...
The performance of most embedded systems is critically dependent on the average memory access latency. Improving the cache hit rate can have significant positive impact on the per...
The recent explosion of on-line information in Digital Libraries and on the World Wide Web has given rise to a number of query-based search engines and manually constructed topica...
Mehran Sahami, Salim Yusufali, Michelle Q. Wang Ba...
We present an architecture for detecting “zero-day” worms and viruses in incoming email. Our main idea is to intercept every incoming message, prescan it for potentially danger...
Stelios Sidiroglou, John Ioannidis, Angelos D. Ker...