Thing-oriented programming (TP) is an emerging programming model which overcomes some of the limitations of current practice in software development in general and of object-orient...
In supervised learning, we commonly assume that training and test data are sampled from the same distribution. However, this assumption can be violated in practice and then standa...
Similarity matrices generated from many applications may not be positive semidefinite, and hence can't fit into the kernel machine framework. In this paper, we study the prob...
The majority of theoretical work in machine learning is done under the assumption of exchangeability: essentially, it is assumed that the examples are generated from the same prob...
Vladimir Vovk, Ilia Nouretdinov, Alexander Gammerm...
One of the novel benefits of virtualization is the ability to emulate many hosts with a single physical machine. This approach is often used to support at-scale testing for large...