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» Tackling Large State Spaces in Performance Modelling
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BMCBI
2008
159views more  BMCBI 2008»
15 years 1 months ago
Multivariate hierarchical Bayesian model for differential gene expression analysis in microarray experiments
Background: Identification of differentially expressed genes is a typical objective when analyzing gene expression data. Recently, Bayesian hierarchical models have become increas...
Hongya Zhao, Kwok-Leung Chan, Lee-Ming Cheng, Hong...
WSC
2000
15 years 2 months ago
Using simulation to evaluate cargo ship design on the LPD17 program
As part of the design of the next generation Naval Amphibious Transport Dock Ship (LPD17), simulation was used to evaluate the arrangement and flow of cargo on the ship and to int...
Joseph Hugan
NIPS
1997
15 years 2 months ago
EM Algorithms for PCA and SPCA
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
Sam T. Roweis
BMCBI
2008
92views more  BMCBI 2008»
15 years 1 months ago
A semiparametric modeling framework for potential biomarker discovery and the development of metabonomic profiles
Background: The discovery of biomarkers is an important step towards the development of criteria for early diagnosis of disease status. Recently electrospray ionization (ESI) and ...
Samiran Ghosh, David F. Grant, Dipak K. Dey, Denni...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 8 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu