An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Traditionally, synchronous languages, such as Esterel, have been compiled into hardware, where timing analysis is relatively easy. When compiled into software ? e.g., into sequent...
Lei Ju, Bach Khoa Huynh, Samarjit Chakraborty, Abh...
A function on n variables is called a k-junta if it depends on at most k of its variables. In this article, we show that it is possible to test whether a function is a k-junta or ...
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Integration over a domain, such as a Euclidean space or a Riemannian manifold, is a fundamental problem across scientific fields. Many times, the underlying domain is only acces...