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151
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FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 4 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
120
Voted
ICRA
2003
IEEE
126views Robotics» more  ICRA 2003»
15 years 8 months ago
Results for outdoor-SLAM using sparse extended information filters
Abstract — In [13], a new algorithm was proposed for efficiently solving the simultaneous localization and mapping (SLAM) problem. In this paper, we extend this algorithm to han...
Yufeng Liu, Sebastian Thrun
126
Voted
MSOM
2010
65views more  MSOM 2010»
14 years 10 months ago
The Optimal Composition of Influenza Vaccines Subject to Random Production Yields
The Vaccine and Related Biologic Products Advisory Committee meets at least once a year to decide the composition of the influenza vaccine in the U.S. Past evidence suggests that ...
Soo-Haeng Cho
125
Voted
SIGIR
2008
ACM
15 years 3 months ago
A simple and efficient sampling method for estimating AP and NDCG
We consider the problem of large scale retrieval evaluation. Recently two methods based on random sampling were proposed as a solution to the extensive effort required to judge te...
Emine Yilmaz, Evangelos Kanoulas, Javed A. Aslam
COLT
1989
Springer
15 years 7 months ago
Learning in the Presence of Inaccurate Information
The present paper considers the effects of introducing inaccuracies in a learner’s environment in Gold’s learning model of identification in the limit. Three kinds of inaccu...
Mark A. Fulk, Sanjay Jain