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» Optimal feature selection for support vector machines
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ICML
2007
IEEE
14 years 8 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
ICML
2002
IEEE
14 years 8 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
44
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HVEI
2010
13 years 5 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...
UML
2005
Springer
14 years 1 months ago
Transforming Models with ATL
This paper presents ATL (ATLAS Transformation Language): a hybrid model transformation language that allows both declarative and imperative constructs to be used in transformation ...
Frédéric Jouault, Ivan Kurtev
CC
2003
Springer
102views System Software» more  CC 2003»
14 years 27 days ago
Precision in Practice: A Type-Preserving Java Compiler
Popular mobile code architectures (Java and .NET) include verifiers to check for memory safety and other security properties. Since their formats are relatively high level, suppor...
Christopher League, Zhong Shao, Valery Trifonov