Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Abstract: Wireless sensor networks can revolutionize soil ecology by providing measurements at temporal and spatial granularities previously impossible. This paper presents our fi...
Andreas Terzis, Razvan Musaloiu-Elefteri, Joshua C...
Locally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstrat...
When monitoring a system wrt. a property defined in a temporal logic such as LTL, a major concern is to settle with an adequate interpretation of observable system events; that is,...
Andreas Bauer 0002, Martin Leucker, Christian Scha...
The growing complexity of systems and their implementation into silicon encourages designers to look for model designs at higher levels of abstraction and then incrementally build ...