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» On Negative Bases
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IROS
2007
IEEE
123views Robotics» more  IROS 2007»
15 years 3 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
15 years 4 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
97
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ICANN
2009
Springer
15 years 1 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»
14 years 9 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
14 years 9 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