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» Regression with Linear Factored Functions
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CSDA
2007
105views more  CSDA 2007»
14 years 10 months ago
Calculation of simplicial depth estimators for polynomial regression with applications
A fast algorithm for calculating the simplicial depth of a single parameter vector of a polynomial regression model is derived. Additionally, an algorithm for calculating the para...
R. Wellmann, S. Katina, Ch. H. Müller
81
Voted
BMCBI
2007
111views more  BMCBI 2007»
14 years 10 months ago
MotifCombinator: a web-based tool to search for combinations of cis-regulatory motifs
Background: A combination of multiple types of transcription factors and cis-regulatory elements is often required for gene expression in eukaryotes, and the combinatorial regulat...
Mamoru Kato, Tatsuhiko Tsunoda
JMLR
2002
106views more  JMLR 2002»
14 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
TIP
2011
162views more  TIP 2011»
14 years 5 months ago
Kernel Maximum Autocorrelation Factor and Minimum Noise Fraction Transformations
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
Allan Aasbjerg Nielsen
CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 5 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin