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118
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CORR
2010
Springer
228views Education» more  CORR 2010»
14 years 9 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
DAC
2010
ACM
14 years 11 months ago
Parallel hierarchical cross entropy optimization for on-chip decap budgeting
Decoupling capacitor (decap) placement has been widely adopted as an effective way to suppress dynamic power supply noise. Traditional decap budgeting algorithms usually explore t...
Xueqian Zhao, Yonghe Guo, Zhuo Feng, Shiyan Hu
76
Voted
SCIA
2005
Springer
15 years 4 months ago
Optimal Estimation of Homogeneous Vectors
Estimation of inhomogeneous vectors is well-studied in estimation theory. For instance, given covariance matrices of input data allow to compute optimal estimates and characterize...
Matthias Mühlich, Rudolf Mester
INCDM
2007
Springer
69views Data Mining» more  INCDM 2007»
15 years 5 months ago
Simultaneous Co-clustering and Modeling of Market Data
For difficult prediction problems, practitioners often segment the data into relatively homogenous groups and then build a model for each group. This two-step procedure usually res...
Meghana Deodhar, Joydeep Ghosh
72
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BMCBI
2006
88views more  BMCBI 2006»
14 years 11 months ago
A two-sample Bayesian t-test for microarray data
Background: Determining whether a gene is differentially expressed in two different samples remains an important statistical problem. Prior work in this area has featured the use ...
Richard J. Fox, Matthew W. Dimmic