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» Composite Kernels For Relation Extraction
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FCCM
2011
IEEE
241views VLSI» more  FCCM 2011»
14 years 3 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...
AAAI
2010
15 years 1 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...
83
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ICPP
1996
IEEE
15 years 3 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»
14 years 11 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...
TNN
2011
200views more  TNN 2011»
14 years 6 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...