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110
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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 2 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
SC
2009
ACM
15 years 7 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,...
110
Voted
IPPS
2005
IEEE
15 years 6 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
103
Voted
QSIC
2007
IEEE
15 years 6 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
73
Voted
ICONIP
2008
15 years 1 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