Abstract. We present a physical, laboratory-scale analog of large-scale atmospheric circulation and develop an observatory for it. By combining observations of a hydro-dynamically ...
Sai Ravela, John Marshall, Christopher Hill, Andre...
Artificial neural networks (ANNs) have shown great promise in modeling circuit parameters for computer aided design applications. Leakage currents, which depend on process paramete...
Janakiraman Viraraghavan, Bharadwaj Amrutur, V. Vi...
Machine learning methods that can use additional knowledge in their inference process are central to the development of integrative bioinformatics. Inclusion of background knowled...
Minca Mramor, Marko Toplak, Gregor Leban, Tomaz Cu...
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
Burkay Orten, Prakash Ishwar, W. Clem Karl, Venkat...
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...