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» Coordination Models and Languages
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102
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TNN
2008
177views more  TNN 2008»
15 years 18 days 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
118
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
118
Voted
MM
2004
ACM
170views Multimedia» more  MM 2004»
15 years 6 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
108
Voted
ICFEM
2009
Springer
15 years 7 months ago
Combining Static Model Checking with Dynamic Enforcement Using the Statecall Policy Language
Internet protocols encapsulate a significant amount of state, making implementing the host software complex. In this paper, we define the Statecall Policy Language (SPL) which pr...
Anil Madhavapeddy
119
Voted
WWW
2008
ACM
16 years 1 months ago
Unsupervised query segmentation using generative language models and wikipedia
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
Bin Tan, Fuchun Peng