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Badly approximable points on self-affine sponges and the lower Assouad dimension
This article highlights a connection between Diophantine approximation and the lower Assouad dimension by using information about the latter to show that the Hausdorff dimension of the set of badly approximable points that lie in certain non-conformal fractals, known as self-affine sponges, is bounded below by the dynamical dimension of these fractals. The results, which are the first to advance beyond the conformal setting, encompass both the case of Sierpiński sponges/carpets (also known as Bedford–McMullen sponges/carpets) and the case of Barański carpets.
Date:
June 20, 2017
Creator:
Das, Tushar; Fishman, Lior; Simmons, David & Urbański, Mariusz
Object Type:
Article
System:
The UNT Digital Library
A Machine Learning Approach to Evaluating Translation Quality
This paper explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date:
June 20, 2017
Creator:
Reyes Ayala, Brenda & Chen, Jiangping
Object Type:
Paper
System:
The UNT Digital Library
A Machine Learning Approach to Evaluating Translation Quality
Poster presented at the 2017 ACM/IEEE-CS Joint Conference on Digital Libraries. explores the possibility of applying Machine Learning for Machine Translation evaluation.
Date:
June 20, 2017
Creator:
Reyes Ayala, Brenda & Chen, Jiangping
Object Type:
Poster
System:
The UNT Digital Library