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» On Using Learning Curves to Evaluate ITS
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UAI
2003
13 years 9 months ago
Probabilistic Models For Joint Clustering And Time-Warping Of Multidimensional Curves
In this paper we present a family of models and learning algorithms that can simultaneously align and cluster sets of multidimensional curves measured on a discrete time grid. Our...
Darya Chudova, Scott Gaffney, Padhraic Smyth
HUC
2007
Springer
14 years 2 months ago
Why It's Worth the Hassle: The Value of In-Situ Studies When Designing Ubicomp
How should Ubicomp technologies be evaluated? While lab studies are good at sensing aspects of human behavior and revealing usability problems, they are poor at capturing context o...
Yvonne Rogers, Kay Connelly, Lenore Tedesco, Willi...
ISCAS
2008
IEEE
93views Hardware» more  ISCAS 2008»
14 years 2 months ago
SOM with False-Neighbor degree and its behaviors
— This study improves SOM with False-Neighbor degree between neurons (FN-SOM) which solves some problems of the original FN-SOM. The improved FN-SOM changes the neighborhood rela...
Haruna Matsushita, Yoshifumi Nishio
ICMCS
2006
IEEE
192views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Classifier Optimization for Multimedia Semantic Concept Detection
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Sheng Gao, Qibin Sun
BMCBI
2011
13 years 2 months ago
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Background: Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often r...
Xavier Robin, Natacha Turck, Alexandre Hainard, Na...