Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Abstract. With the emergence of swept-volume ultrasound (US) probes, precise and almost real-time US volume imaging has become available. This offers many new opportunities for com...
Michael Baumann, Vincent Daanen, Antoine Leroy, Jo...
Bayesian networks are commonly used in cognitive student modeling and assessment. They typically represent the item-concepts relationships, where items are observable responses to ...
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
State-of-the-art FPGAs possess I/O resources that can be configured to support a wide variety of I/O standards [1]. In such devices, the I/O resources are grouped into banks. One o...
Jason Helge Anderson, Jim Saunders, Sudip Nag, Cha...