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» Clarifying Goal Models
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KI
2008
Springer
15 years 6 months ago
Can Argumentation Help AI to Understand Explanation?
ed from context by seeing an explanation inferentially, much in the same way that early expert systems saw an explanation as chaining of inferences. This approach omitted, for the ...
Doug Walton
BMCBI
2005
145views more  BMCBI 2005»
15 years 6 months ago
CAGER: classification analysis of gene expression regulation using multiple information sources
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
Jianhua Ruan, Weixiong Zhang
SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
14 years 9 months ago
Distributed Monitoring of the R2 Statistic for Linear Regression
The problem of monitoring a multivariate linear regression model is relevant in studying the evolving relationship between a set of input variables (features) and one or more depe...
Kanishka Bhaduri, Kamalika Das, Chris Giannella
ICCV
2011
IEEE
14 years 6 months ago
Shape-constrained Gaussian Process Regression for Facial-point-based Head-pose Normalization
Given the facial points extracted from an image of a face in an arbitrary pose, the goal of facial-point-based headpose normalization is to obtain the corresponding facial points ...
Ognjen Rudovic, Maja Pantic
CVPR
2001
IEEE
16 years 8 months ago
Texture Replacement in Real Images
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
Yanghai Tsin, Yanxi Liu, Visvanathan Ramesh