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...
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
We report on our experience implementing a lightweight, fully verified relational database management system (RDBMS). The functional specification of RDBMS behavior, RDBMS impleme...
Avraham Shinnar, Greg Morrisett, J. Gregory Malech...
Biologists are increasingly using databases for storing and managing their data. Biological databases typically consist of a mixture of raw data, metadata, sequences, annotations,...
Mohamed Y. Eltabakh, Mourad Ouzzani, Walid G. Aref
Technologies for overcoming heterogeneities between autonomous data sources are key in the emerging networked world. In this paper we discuss the initial results of a formal inves...
George H. L. Fletcher, Catharine M. Wyss, Edward L...