Sciweavers

8 search results - page 1 / 2
» Adaptive Importance Sampling to Accelerate Training of a Neu...
Sort
View
TNN
2008
177views more  TNN 2008»
13 years 4 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ICMI
2005
Springer
158views Biometrics» more  ICMI 2005»
13 years 10 months ago
Recognition of sign language subwords based on boosted hidden Markov models
Sign language recognition (SLR) plays an important role in human-computer interaction (HCI), especially for the convenient communication between deaf and hearing society. How to e...
Liang-Guo Zhang, Xilin Chen, Chunli Wang, Yiqiang ...
IR
2006
13 years 4 months ago
Multilingual modeling of cross-lingual spelling variants
Technical term translations are important for cross-lingual information retrieval. In many languages, new technical terms have a common origin rendered with different spelling of ...
Krister Lindén
ADMA
2008
Springer
240views Data Mining» more  ADMA 2008»
13 years 11 months ago
Automatic Web Tagging and Person Tagging Using Language Models
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
Qiaozhu Mei, Yi Zhang
CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 4 months ago
Large scale probabilistic available bandwidth estimation
The common utilization-based definition of available bandwidth and many of the existing tools to estimate it suffer from several important weaknesses: i) most tools report a point...
Frederic Thouin, Mark Coates, Michael G. Rabbat