Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggrega...
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
This paper proposes and experimentally validates a Bayesian network model of a range finder adapted to dynamic environments. All modeling assumptions are rigorously explained, and...
Tinne De Laet, Joris De Schutter, Herman Bruyninck...
Dynamically tracking the flow of data within a microprocessor creates many new opportunities to detect and track malicious or erroneous behavior, but these schemes all rely on the...
An approximate search query on a collection of strings finds those strings in the collection that are similar to a given query string, where similarity is defined using a given si...