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» Towards Automatic Model Generation by Optimization
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CSDA
2007
99views more  CSDA 2007»
14 years 9 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
CASES
2007
ACM
15 years 1 months ago
Compiler generation from structural architecture descriptions
With increasing complexity of modern embedded systems, the availability of highly optimizing compilers becomes more and more important. At the same time, application specific inst...
Florian Brandner, Dietmar Ebner, Andreas Krall
62
Voted
WSC
2008
14 years 12 months ago
A study on port design automation concept
In this paper, an automation concept is proposed to facilitate the simulation model building for port design problem. Currently, this process, which includes drawing the terminal ...
Loo Hay Lee, Ek Peng Chew, Hai Xing Cheng, Yongbin...
JGO
2010
117views more  JGO 2010»
14 years 8 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
67
Voted
IPPS
2005
IEEE
15 years 3 months ago
A Compiler and Runtime Infrastructure for Automatic Program Distribution
This paper presents the design and the implementation of a compiler and runtime infrastructure for automatic program distribution. We are building a research infrastructure that e...
Roxana Diaconescu, Lei Wang, Zachary Mouri, Matt C...