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» A Pitfall in Determining the Optimal Feature Subset Size
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CIBCB
2008
IEEE
14 years 1 months ago
Very large scale ReliefF for genome-wide association analysis
— The genetic causes of many monogenic diseases have already been discovered. However, most common diseases are actually the result of complex nonlinear interactions between mult...
Margaret J. Eppstein, Paul Haake
NIPS
2007
13 years 8 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
FSTTCS
2009
Springer
13 years 12 months ago
Bounded Size Graph Clustering with Applications to Stream Processing
We introduce a graph clustering problem motivated by a stream processing application. Input to our problem is an undirected graph with vertex and edge weights. A cluster is a subse...
Rohit Khandekar, Kirsten Hildrum, Sujay Parekh, De...
ICCAD
1993
IEEE
123views Hardware» more  ICCAD 1993»
13 years 11 months ago
Optimal sizing of high-speed clock networks based on distributed RC and lossy transmission line models
We have proposed an e cient measure to reduce the clock skew by assigning the clock network with variable branch widths. This measure has long been used for \H" clock tree. T...
Qing Zhu, Wayne Wei-Ming Dai, Joe G. Xi
JMLR
2010
182views more  JMLR 2010»
13 years 2 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...