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ICASSP
2011
IEEE
14 years 7 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...
99
Voted
CORR
2008
Springer
73views Education» more  CORR 2008»
15 years 4 months ago
On Information-Theoretic Scaling Laws for Wireless Networks
With the analysis of the hierarchical scheme, the potential influence of the pre-constant in deriving scaling laws is exposed. It is found that a modified hierarchical scheme can ...
Liang-Liang Xie
WOWMOM
1998
ACM
106views Multimedia» more  WOWMOM 1998»
15 years 8 months ago
A Systems Approach to Prediction, Compensation and Adaptation in Wireless Networks
This paper presents a framework for provisioning application and channel dependent quality of service in wireless networks. The framework is based on three di erent adaptation mec...
Javier Gomez, Andrew T. Campbell, Hiroyuki Morikaw...
NECO
2008
114views more  NECO 2008»
15 years 4 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
ISVLSI
2005
IEEE
113views VLSI» more  ISVLSI 2005»
15 years 9 months ago
Balancing System Level Pipelines with Stage Voltage Scaling
This paper presents an approach to dynamically balance the pipeline by scaling the stage supply voltages. Simulation results show that by such an approach about 50% improvement in...
Hui Guo, Sri Parameswaran