Embeddings of random variables in reproducing kernel Hilbert spaces (RKHSs) may be used to conduct statistical inference based on higher order moments. For sufficiently rich (char...
Kenji Fukumizu, Bharath K. Sriperumbudur, Arthur G...
Component-based operating systems enable embedded systems to adapt system policies, mechanisms, and abstractions to the specific workloads and contexts of each system. The scope o...
Many machine learning algorithms can be formulated in the framework of statistical independence such as the Hilbert Schmidt Independence Criterion. In this paper, we extend this c...
Xinhua Zhang, Le Song, Arthur Gretton, Alex J. Smo...
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...