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» On Using Learning Curves to Evaluate ITS
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ETRA
2008
ACM
130views Biometrics» more  ETRA 2008»
13 years 9 months ago
Longitudinal evaluation of discrete consecutive gaze gestures for text entry
Eye-typing performance results are reported from controlled studies comparing an on-screen keyboard and EyeWrite, a new on-screen gestural input alternative. Results from the firs...
Jacob O. Wobbrock, James Rubinstein, Michael W. Sa...
ISNN
2007
Springer
14 years 2 months ago
Online Dynamic Value System for Machine Learning
A novel online dynamic value system for machine learning is proposed in this paper. The proposed system has a dual network structure: data processing network (DPN) and information ...
Haibo He, Janusz A. Starzyk
ITS
2010
Springer
178views Multimedia» more  ITS 2010»
14 years 20 days ago
Learning What Works in ITS from Non-traditional Randomized Controlled Trial Data
The traditional, well established approach to finding out what works in education research is to run a randomized controlled trial (RCT) using a standard pretest and posttest desig...
Zachary A. Pardos, Matthew D. Dailey, Neil T. Heff...
ICONIP
2008
13 years 9 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
NIPS
2004
13 years 9 months ago
A Large Deviation Bound for the Area Under the ROC Curve
The area under the ROC curve (AUC) has been advocated as an evaluation criterion for the bipartite ranking problem. We study large deviation properties of the AUC; in particular, ...
Shivani Agarwal, Thore Graepel, Ralf Herbrich, Dan...