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Bias-Variance Tradeoffs in Program Analysis
Program Analysis Machine Learning Verification
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2016/5/24
It is often the case that increasing the precision of a program analysis leads to worse results. It is our thesis that this phenomenon is the result of fundamental limits on the ability to use precise...
Small Variance Asymptotics for Dirichlet Process Mixtures of SVMs
Small Variance Asymptotics Dirichlet Process Mixtures SVM
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2016/1/22
Infinite SVM (iSVM) is a Dirichlet process (DP) mix-ture of large-margin classifiers. Though flexible in learning nonlinear classifiers and discovering latent clustering structures, iSVM has a difficu...
The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem
Markov process fast mixing second smallest eigenvalue semidefinite programming dimensionality reduction
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2015/8/10
We consider a Markov process on a connected graph, with edges labeled with transition rates between the adjacent vertices. The distribution of the Markov process converges to the uniform distribution ...
Multiresolution image fusion is an emerging area of research for use in military and commercial applications. While many methods for image fusion have been developed, improvements can still be made. I...