In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
In this paper, we present a document model which integrates the logical structure and hypertext link structure of hyperdocuments in order to manage structured documents with hyper...
Yong Kyu Lee, Seong-Joon Yoo, Kyoungro Yoon, P. Br...
We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
In this paper we propose an algorithm to estimate missing
values in tensors of visual data. The values can be missing
due to problems in the acquisition process, or because
the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...
The potential of knowledge-based technological support for work in the legal domain has become widely recognized in recent time. This paper argues for an approach that is meant to...