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147
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 5 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye
154
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SC
2009
ACM
15 years 10 months ago
Many task computing for multidisciplinary ocean sciences: real-time uncertainty prediction and data assimilation
Error Subspace Statistical Estimation (ESSE), an uncertainty prediction and data assimilation methodology employed for real-time ocean forecasts, is based on a characterization an...
Constantinos Evangelinos, Pierre F. J. Lermusiaux,...
141
Voted
IPPS
2005
IEEE
15 years 9 months ago
Energy-Aware Task Scheduling: Towards Enabling Mobile Computing over MANETs
Enabling high performance, persistent mobile computing has recently become a very active research area. The widespread popularity of mobile computing devices, such as laptops, han...
Waleed Alsalih, Selim G. Akl, Hossam S. Hassanein
127
Voted
QSIC
2007
IEEE
15 years 10 months ago
Synthesizing Component-Based WSN Applications via Automatic Combination of Code Optimization Techniques
Wireless sensor network (WSN) applications sense events in-situ and compute results in-network. Their software components should run on platforms with stringent constraints on nod...
Zhenyu Zhang, W. K. Chan, T. H. Tse
99
Voted
ICONIP
2008
15 years 5 months ago
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
Mohamad Faizal Bin Samsudin, Katsunari Shibata