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» Statistical Analysis of Semi-Supervised Regression
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NIPS
2007
13 years 9 months ago
Supervised Topic Models
We introduce supervised latent Dirichlet allocation (sLDA), a statistical model of labelled documents. The model accommodates a variety of response types. We derive a maximum-like...
David M. Blei, Jon D. McAuliffe
BMCBI
2007
121views more  BMCBI 2007»
13 years 7 months ago
A constrained polynomial regression procedure for estimating the local False Discovery Rate
Background: In the context of genomic association studies, for which a large number of statistical tests are performed simultaneously, the local False Discovery Rate (lFDR), which...
Cyril Dalmasso, Avner Bar-Hen, Philippe Broët
ICML
2010
IEEE
13 years 8 months ago
A scalable trust-region algorithm with application to mixed-norm regression
We present a new algorithm for minimizing a convex loss-function subject to regularization. Our framework applies to numerous problems in machine learning and statistics; notably,...
Dongmin Kim, Suvrit Sra, Inderjit S. Dhillon
CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 13 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
NIPS
2007
13 years 9 months ago
Predicting Brain States from fMRI Data: Incremental Functional Principal Component Regression
We propose a method for reconstruction of human brain states directly from functional neuroimaging data. The method extends the traditional multivariate regression analysis of dis...
Sennay Ghebreab, Arnold W. M. Smeulders, Pieter W....