The informative vector machine (IVM) is a practical method for Gaussian process regression and classification. The IVM produces a sparse approximation to a Gaussian process by com...
Neil D. Lawrence, John C. Platt, Michael I. Jordan
We address the problem of obtaining good variable orderings for the BDD representation of a system of interacting finite state machines (FSMs). Orderings are derived from the comm...
In this work, we present a new model for a Recurrent Support Vector Machine. We call it intrinsic because the complete recurrence is directly incorporated within the considered opt...
This paper presents a new approach including passive and actriveprocesses to deal with the image segmentation and pattern recognition to a color blindness plate (CBP). The CBP is ...
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...