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» Model Selection and Error Estimation
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WSC
2007
15 years 6 months ago
Automating DES output analysis: how many replications to run
This paper describes the selection and automation of a method for estimating how many replications should be run to achieve a required accuracy in the output. The motivation is to...
Kathryn Hoad, Stewart Robinson, Ruth Davies
PAMI
1998
85views more  PAMI 1998»
15 years 4 months ago
Shape Evolution With Structural and Topological Changes Using Blending
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric c...
Douglas DeCarlo, Dimitris N. Metaxas
ICASSP
2009
IEEE
15 years 2 months ago
Blind sparse source separation for unknown number of sources using Gaussian mixture model fitting with Dirichlet prior
In this paper, we propose a novel sparse source separation method that can be applied even if the number of sources is unknown. Recently, many sparse source separation approaches ...
Shoko Araki, Tomohiro Nakatani, Hiroshi Sawada, Sh...
BMCBI
2008
124views more  BMCBI 2008»
15 years 4 months ago
A probe-treatment-reference (PTR) model for the analysis of oligonucleotide expression microarrays
Background: Microarray pre-processing usually consists of normalization and summarization. Normalization aims to remove non-biological variations across different arrays. The norm...
Huanying Ge, Chao Cheng, Lei M. Li
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 4 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich