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» On Negative Bases
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IROS
2007
IEEE
123views Robotics» more  IROS 2007»
14 years 1 months ago
Potential negative obstacle detection by occlusion labeling
— In this paper, we present an approach for potential negative obstacle detection based on missing data interpretation that extends traditional techniques driven by data only whi...
Nicholas Heckman, Jean-François Lalonde, Ni...
IJCNN
2008
IEEE
14 years 2 months ago
On-line bagging Negative Correlation Learning
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
Fernanda L. Minku, Xin Yao
ICANN
2009
Springer
13 years 11 months ago
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
Shan He, Huanhuan Chen, Xiaoli Li, Xin Yao
EC
2007
101views ECommerce» more  EC 2007»
13 years 7 months ago
Revisiting Negative Selection Algorithms
This paper reviews the progress of negative selection algorithms, an anomaly/change detection approach in Artificial Immune Systems (AIS). Following its initial model, we try to ...
Zhou Ji, Dipankar Dasgupta
SIGIR
2008
ACM
13 years 7 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai