straction is a useful tool for agents interacting with environments. Good state abstractions are compact, reuseable, and easy to learn from sample data. This paper and extends two...
This paper introduces a new visual representation of a document or group of documents, a Dynamic Document Icon, or Dydocon. Its representation is symbolic like an icon, but change...
We consider the problem of storing and searching a large state space obtained from a high-level model such as a queueing network or a Petri net. After reviewing the traditional te...
We present a new property driven pruning algorithm in dynamic model checking to efficiently detect race conditions in multithreaded programs. The main idea is to use a lockset base...
This paper addresses cost-sensitive classification in the setting where there are costs for measuring each attribute as well as costs for misclassification errors. We show how to ...