We provide a provably efficient algorithm for learning Markov Decision Processes (MDPs) with continuous state and action spaces in the online setting. Specifically, we take a mo...
A major concern for large-scale deployment of location-based services (LBSs) is the potential abuse of their client location data, which may imply sensitive personal information. ...
Continuous spatial queries posted within an environment of moving objects produce as their results a time-varying set of objects. In the most ambitious case both queries and data ...
Yu-Ling Hsueh, Roger Zimmermann, Haojun Wang, Wei-...
In data stream processing systems, Quality of Service (or QoS) requirements, as specified by users, are extremely important. Unlike in a database management system (DBMS), a query...
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...