100 search results - page 5 / 20 » Distributed training of large scale exponential language mod... |
118
Voted
OTM
2010
Springer
15 years 1 months ago
2010
Springer
Massive-scale distributed computing is a challenge at our doorstep. The current exponential growth of data calls for massive-scale capabilities of storage and processing. This is b...
168
Voted
JMLR
2008
15 years 3 months ago
2008
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
157
Voted
ICPPW
2009
IEEE
15 years 1 months ago
2009
IEEE
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
137
Voted
FGR
2002
IEEE
15 years 8 months ago
2002
IEEE
Hitherto, the major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In this paper we present an approach to la...
124
Voted
WWW
2010
ACM
15 years 10 months ago
2010
ACM
It has been widely observed that search queries are composed in a very different style from that of the body or the title of a document. Many techniques explicitly accounting for...