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» Measuring the Complexity of Classification Problems
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ANNPR
2006
Springer
13 years 11 months ago
Hierarchical Neural Networks Utilising Dempster-Shafer Evidence Theory
Abstract. Hierarchical neural networks show many benefits when employed for classification problems even when only simple methods analogous to decision trees are used to retrieve t...
Rebecca Fay, Friedhelm Schwenker, Christian Thiel,...
FGR
2008
IEEE
164views Biometrics» more  FGR 2008»
13 years 8 months ago
Confidence assessment on eyelid and eyebrow expression recognition
In this paper, we address the recognition of subtle facial expressions by reasoning on the classification confidence. Psychological evidences have determined that eyelids and eyeb...
Javier Orozco, Ognjen Rudovic, F. Xavier Roca, Jor...
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
14 years 8 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
SIGIR
2010
ACM
13 years 11 months ago
Entity information management in complex networks
Entity information management (EIM) is a nascent IR research area that investigates the information management process about entities instead of documents. It is motivated by the ...
Yi Fang
COGSCI
2008
90views more  COGSCI 2008»
13 years 7 months ago
Using fMRI to Test Models of Complex Cognition
This article investigates the potential of fMRI to test assumptions about different components in models of complex cognitive tasks. If the components of a model can be associated...
John R. Anderson, Cameron S. Carter, Jon M. Fincha...