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172
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AI
2002
Springer
15 years 2 months ago
Ensembling neural networks: Many could be better than all
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
Zhi-Hua Zhou, Jianxin Wu, Wei Tang
147
Voted
ARTMED
2002
119views more  ARTMED 2002»
15 years 2 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
156
Voted
BMCBI
2002
195views more  BMCBI 2002»
15 years 2 months ago
Clustering of the SOM easily reveals distinct gene expression patterns: results of a reanalysis of lymphoma study
Background: A method to evaluate and analyze the massive data generated by series of microarray experiments is of utmost importance to reveal the hidden patterns of gene expressio...
Junbai Wang, Jan Delabie, Hans Christian Aasheim, ...
135
Voted
SAC
2002
ACM
15 years 2 months ago
Concurrency control for distributed cooperative engineering applications
Distributed cooperative engineering applications require consistent and long-term sharing of large volumes of data, which may cause conflicts due to concurrent read/write operatio...
João Coelho Garcia, Paulo Ferreira
PAMI
2007
127views more  PAMI 2007»
15 years 2 months ago
Stereo Correspondence with Occlusion Handling in a Symmetric Patch-Based Graph-Cuts Model
—A novel patch-based correspondence model is presented in this paper. Many segment-based correspondence approaches have been proposed in recent years. Untextured pixels and bound...
Yi Deng, Qiong Yang, Xueyin Lin, Xiaoou Tang
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