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BMCBI
2010
109views more  BMCBI 2010»
15 years 5 months ago
Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression
Background: In the last decade, biochemical studies have revealed that epigenetic modifications including histone modifications, histone variants and DNA methylation form a comple...
Xiaojiang Xu, Stephen Hoang, Marty W. Mayo, Stefan...
PROMISE
2010
14 years 12 months ago
Prediction of defect distribution based on project characteristics for proactive project management
As software has been pervasive and various software projects have been executed since the 1970s, software project management has played a significant role in software industry. Th...
Youngki Hong, Wondae Kim, Jeongsoo Joo
ICCV
2009
IEEE
16 years 10 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
IPPS
2007
IEEE
15 years 11 months ago
Measuring the Robustness of Resource Allocations in a Stochastic Dynamic Environment
Heterogeneous distributed computing systems often must operate in an environment where system parameters are subject to uncertainty. Robustness can be defined as the degree to wh...
Jay Smith, Luis Diego Briceno, Anthony A. Maciejew...
COLT
2006
Springer
15 years 8 months ago
A Randomized Online Learning Algorithm for Better Variance Control
We propose a sequential randomized algorithm, which at each step concentrates on functions having both low risk and low variance with respect to the previous step prediction functi...
Jean-Yves Audibert