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» On the futility of statistical power optimization
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JILP
2002
83views more  JILP 2002»
13 years 5 months ago
Using Statistical and Symbolic Simulation for Microprocessor Performance Evaluation
As microprocessor designs continue to evolve, many optimizations reach a point of diminishing returns. We introduce HLS, a hybrid processor simulator which uses statistical models...
Mark Oskin, Frederic T. Chong, Matthew K. Farrens
BMCBI
2010
190views more  BMCBI 2010»
13 years 5 months ago
Sample size and statistical power considerations in high-dimensionality data settings: a comparative study of classification alg
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...
Yu Guo, Armin Graber, Robert N. McBurney, Raji Bal...
ICCD
2004
IEEE
106views Hardware» more  ICCD 2004»
14 years 2 months ago
A New Statistical Optimization Algorithm for Gate Sizing
— In this paper, we approach the gate sizing problem in VLSI circuits in the context of increasing variability of process and circuit parameters as technology scales into the nan...
Murari Mani, Michael Orshansky
SIGIR
2010
ACM
13 years 9 months ago
Learning more powerful test statistics for click-based retrieval evaluation
Interleaving experiments are an attractive methodology for evaluating retrieval functions through implicit feedback. Designed as a blind and unbiased test for eliciting a preferen...
Yisong Yue, Yue Gao, Olivier Chapelle, Ya Zhang, T...
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 3 months ago
An Inverse Power Method for Nonlinear Eigenproblems with Applications in 1-Spectral Clustering and Sparse PCA
Many problems in machine learning and statistics can be formulated as (generalized) eigenproblems. In terms of the associated optimization problem, computing linear eigenvectors a...
Matthias Hein, Thomas Bühler