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EMNLP
2010
15 years 4 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
IPPS
2010
IEEE
15 years 4 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
MOBILIGHT
2010
15 years 4 months ago
CogProt: A Framework for Cognitive Configuration and Optimization of Communication Protocols
Advancements in network technologies dramatically increased management complexity. Cognitive networking was introduced to deal with this problem, by providing algorithms for autono...
Dzmitry Kliazovich, Neumar Malheiros, Nelson L. S....
AND
2009
15 years 4 months ago
Tools for monitoring, visualizing, and refining collections of noisy documents
Developing better systems for document image analysis requires understanding errors, their sources, and their effects. The interactions between various processing steps are comple...
Daniel P. Lopresti, George Nagy
HIPC
2009
Springer
15 years 4 months ago
Optimizing the use of GPU memory in applications with large data sets
Abstract--With General Purpose programmable GPUs becoming more and more popular, automated tools are needed to bridge the gap between achievable performance from highly parallel ar...
Nadathur Satish, Narayanan Sundaram, Kurt Keutzer