We propose a new family of probabilistic description logics (DLs) that, in contrast to most existing approaches, are derived in a principled way from Halpern’s probabilistic fi...
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio
A requirement of any source language is to be rich in features and concise to use by the programmers. As a drawback, it is often too complex to analyse, causing research studies t...
Current developments show that tomorrow’s information systems and applications will no longer be based on monolithic architectures that encompass all the functionality. Rather, t...
Medical information delivery for users with different levels of expertise will be required for the manned mission to Mars due to limited potential for communication with Earth. Th...