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ICML
2001
IEEE
16 years 5 months ago
An Improved Predictive Accuracy Bound for Averaging Classifiers
We present an improved bound on the difference between training and test errors for voting classifiers. This improved averaging bound provides a theoretical justification for popu...
John Langford, Matthias Seeger, Nimrod Megiddo
CVPR
2005
IEEE
16 years 6 months ago
Learning Feature Distance Measures for Image Correspondences
Standard but ad hoc measures such as sum-of-squared pixel differences (SSD) are often used when comparing and registering two images that have not been previously observed before....
Xi Chen, Tat-Jen Cham
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
15 years 9 months ago
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring
Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tuto...
Erin Walker, Sean Walker, Nikol Rummel, Kenneth R....
ECML
2006
Springer
15 years 8 months ago
Cost-Sensitive Learning of SVM for Ranking
Abstract. In this paper, we propose a new method for learning to rank. `Ranking SVM' is a method for performing the task. It formulizes the problem as that of binary classific...
Jun Xu, Yunbo Cao, Hang Li, Yalou Huang
160
Voted
JMLR
2010
230views more  JMLR 2010»
14 years 11 months ago
Learning Dissimilarities for Categorical Symbols
In this paper we learn a dissimilarity measure for categorical data, for effective classification of the data points. Each categorical feature (with values taken from a finite set...
Jierui Xie, Boleslaw K. Szymanski, Mohammed J. Zak...