Covariate shift is a situation in supervised learning where training and test inputs follow different distributions even though the functional relation remains unchanged. A common...
Yuta Tsuboi, Hisashi Kashima, Shohei Hido, Steffen...
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
Visualizing 3D flow fields intrinsically suffers from problems of clutter and occlusion. A common practice to alleviate these issues is to restrict the visualization to feature su...
Business processes are often likely to undergo drastic changes and hence the workflow systems that model, simulate and enact these processes should support the monitoring and cont...
Bastin Tony Roy Savarimuthu, Maryam Purvis, Martin...
Next-generation Government Information Systems will integrate large amounts of heterogeneous data sources located on distributed networks like the Internet. We present Net Travele...