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» Using Prior Knowledge: Problems and Solutions
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105
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OSDI
2008
ACM
15 years 12 months ago
Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions
Abstract ? Large enterprise networks consist of thousands of services and applications. The performance and reliability of any particular application may depend on multiple service...
Xu Chen, Ming Zhang, Zhuoqing Morley Mao, Paramvir...
CVPR
2008
IEEE
16 years 1 months ago
Learning Bayesian Networks with qualitative constraints
Graphical models such as Bayesian Networks (BNs) are being increasingly applied to various computer vision problems. One bottleneck in using BN is that learning the BN model param...
Yan Tong, Qiang Ji
89
Voted
ICMLA
2003
15 years 1 months ago
The Consolidation of Neural Network Task Knowledge
— Fundamental to the problem of lifelong machine learning is how to consolidate the knowledge of a learned task within a long-term memory structure (domain knowledge) without the...
Daniel L. Silver, Peter McCracken
RECOMB
2008
Springer
15 years 12 months ago
A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics
The protein inference problem represents a major challenge in shotgun proteomics. Here we describe a novel Bayesian approach to address this challenge that incorporates the predict...
Yong Fuga Li, Randy J. Arnold, Yixue Li, Predrag R...
ICCV
2011
IEEE
13 years 11 months ago
The Generalized Trace-Norm and its Application to Structure-from-Motion Problems
In geometric computer vision, the structure from motion (SfM) problem can be formulated as a optimization problem with a rank constraint. It is well known that the trace norm of a...
Roland Angst, Christopher Zach, Marc Pollefeys