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» Composite Kernels For Relation Extraction
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166
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FCCM
2011
IEEE
241views VLSI» more  FCCM 2011»
14 years 5 months ago
Multilevel Granularity Parallelism Synthesis on FPGAs
— Recent progress in High-Level Synthesis (HLS) es has helped raise the abstraction level of FPGA programming. However implementation and performance evaluation of the HLS-genera...
Alexandros Papakonstantinou, Yun Liang, John A. St...
119
Voted
AAAI
2010
15 years 3 months ago
Adaptive Transfer Learning
Transfer learning aims at reusing the knowledge in some source tasks to improve the learning of a target task. Many transfer learning methods assume that the source tasks and the ...
Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung...
ICPP
1996
IEEE
15 years 6 months ago
Restructuring Programs for High-Speed Computers with Polaris
The ability to automatically parallelize standard programming languages results in program portability across a wide range of machine architectures. It is the goal of the Polaris ...
William Blume, Rudolf Eigenmann, Keith Faigin, Joh...
BMCBI
2010
135views more  BMCBI 2010»
15 years 1 months ago
Detecting disease associated modules and prioritizing active genes based on high throughput data
Background: The accumulation of high-throughput data greatly promotes computational investigation of gene function in the context of complex biological systems. However, a biologi...
Yu-Qing Qiu, Shi-Hua Zhang, Xiang-Sun Zhang, Luona...
146
Voted
TNN
2011
200views more  TNN 2011»
14 years 8 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...