Statistical machine learning continues to show promise as a tool for addressing complex problems in a variety of domains. An increasing number of developers are therefore looking ...
Kayur Patel, James Fogarty, James A. Landay, Bever...
Abstract— Regular structures are present in many types of circuits. If this structure can be identified and utilized, performance can be improved dramatically. In this paper, we...
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
This paper aims at measuring the reliability of judges in MT evaluation. The scope is two evaluation campaigns from the CESTA project, during which human evaluations were carried ...
In this paper, we propose a news index system which supports users who would like to observe difference in various topics (e.g. politics, economy, education, and culture) among cou...
Tomoya Noro, Bin Liu, Yosuke Nakagawa, Hao Han, Ta...