We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
A significant obstacle to the widespread adoption of FPGAbased configurable computing hardware has been the difficulty of mapping applications onto this hardware. We are developin...
Benjamin A. Levine, Senthil Natarajan, Chandra Tan...
Abstract-- In this paper we describe an optimal reconfiguration planning algorithm that morphs a grounded truss structure of known geometry into a new geometry. The plan consists o...
Seung-kook Yun, David Alan Hjelle, Eric Schweikard...
This paper investigates the impact of sequential selection, a concept recently introduced for Evolution Strategies (ESs), that consists in performing the evaluations of the diffe...