100 search results - page 3 / 20 » Distributed training of large scale exponential language mod... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
Canonical distributed quantization schemes do not scale to large sensor networks due to the exponential decoder storage complexity that they entail. Prior efforts to tackle this i...
ICASSP
2009
IEEE
14 years 1 months ago
2009
IEEE
For effective training of acoustic and language models for spontaneous speech such as meetings, it is significant to exploit the texts available in a large scale, which may not b...
SIGCOMM
2012
ACM
11 years 8 months ago
2012
ACM
Contact interval between moving vehicles is one of the key metrics in vehicular ad hoc networks (VANETs), which is important to routing schemes and network capacity. In this work,...
ICALP
2003
Springer
13 years 11 months ago
2003
Springer
Recently, Fabrikant, Koutsoupias and Papadimitriou [7] introduced a natural and beautifully simple model of network growth involving a trade-off between geometric and network obje...
EMNLP
2007
13 years 7 months ago
2007
This paper reports on the benefits of largescale statistical language modeling in machine translation. A distributed infrastructure is proposed which we use to train on up to 2 t...