In many reinforcement learning applications, the set of possible actions can be partitioned by the programmer into subsets of similar actions. This paper presents a technique for ...
We introduce and evaluate a middleware clustering technology capable of allocating resources to web applications through dynamic application instance placement. We define applicat...
A. Karve, Tracy Kimbrel, Giovanni Pacifici, Mike S...
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
Abstract. This paper investigates what is essentially a call-by-value version of PCF under a complexity-theoretically motivated type system. The programming formalism, ATR, has its...
Analyzing interactions among peers that interact via messages is a crucial problem due to increasingly distributed nature of current software systems, especially the ones built us...