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ICPR
2006
IEEE
16 years 2 months ago
Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning
It is possible to broadly characterize two approaches to probabilistic modeling in terms of generative and discriminative methods. Provided with sufficient training data the discr...
B. Michael Kelm, Chris Pal, Andrew McCallum
ICS
2010
Tsinghua U.
15 years 11 months ago
Robustness of the Learning with Errors Assumption
: Starting with the work of Ishai-Sahai-Wagner and Micali-Reyzin, a new goal has been set within the theory of cryptography community, to design cryptographic primitives that are s...
Shafi Goldwasser, Yael Kalai, Chris Peikert, Vinod...
CCGRID
2008
IEEE
15 years 8 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
IPPS
2008
IEEE
15 years 8 months ago
CoSL: A coordinated statistical learning approach to measuring the capacity of multi-tier websites
Website capacity determination is crucial to measurement-based access control, because it determines when to turn away excessive client requests to guarantee consistent service qu...
Jia Rao, Cheng-Zhong Xu
ICDCS
2007
IEEE
15 years 8 months ago
Testing Security Properties of Protocol Implementations - a Machine Learning Based Approach
Security and reliability of network protocol implementations are essential for communication services. Most of the approaches for verifying security and reliability, such as forma...
Guoqiang Shu, David Lee