Abstract: This paper deals with the problem of multivariate copula density estimation. Using wavelet methods we provide two shrinkage procedures based on thresholding rules for whi...
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
Handling changes to programs and specifications efficiently is a particular challenge in formal software verification. Change impact analysis is an approach to this challenge where...
Packet classification is widely used in various network security and operation applications. Two of the main challenges are the increasing number of classification rules, amount o...
This paper presents a new approach to improving relation extraction based on minimally supervised learning. By adding some limited closed-world knowledge for confidence estimation...
Feiyu Xu, Hans Uszkoreit, Sebastian Krause, Hong L...