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» Learning and Consistency
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IJCAI
2003
13 years 7 months ago
AUC: a Statistically Consistent and more Discriminating Measure than Accuracy
Predictive accuracy has been used as the main and often only evaluation criterion for the predictive performance of classification learning algorithms. In recent years, the area ...
Charles X. Ling, Jin Huang, Harry Zhang
NIPS
2003
13 years 7 months ago
Learning with Local and Global Consistency
We consider the general problem of learning from labeled and unlabeled data, which is often called semi-supervised learning or transductive inference. A principled approach to sem...
Dengyong Zhou, Olivier Bousquet, Thomas Navin Lal,...
ICRA
2000
IEEE
111views Robotics» more  ICRA 2000»
13 years 10 months ago
Learning Globally Consistent Maps by Relaxation
Mobile robots require the ability to build their own maps to operate in unknown environments. A fundamental problem is that odometry-based dead reckoning cannot be used to assign ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
AROBOTS
2002
91views more  AROBOTS 2002»
13 years 6 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
EDM
2009
106views Data Mining» more  EDM 2009»
13 years 4 months ago
Consistency of Students' Pace in Online Learning
The purpose of this study is to investigate the consistency of students' behavior regarding their pace of actions over sessions within an online course. Pace in a session is d...
Arnon Hershkovitz, Rafi Nachmias