H
Huanhuan Chen
Researcher at University of Science and Technology of China
Publications - 137
Citations - 3026
Huanhuan Chen is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Computer science & Support vector machine. The author has an hindex of 24, co-authored 120 publications receiving 2102 citations. Previous affiliations of Huanhuan Chen include University of Leeds & University of Birmingham.
Papers
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Evolving Least Squares Support Vector Machines for Stock Market Trend Mining
TL;DR: Experimental results obtained reveal that the proposed evolving LSSVM can produce some forecasting models that are easier to be interpreted by using a small number of predictive features and are more efficient than other parameter optimization methods.
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Multiobjective Neural Network Ensembles Based on Regularized Negative Correlation Learning
Huanhuan Chen,Xin Yao +1 more
TL;DR: The paper proposes the multiobjective regularized negative correlation learning (MRNCL) algorithm which incorporates an additional regularization term for the ensemble and uses the evolutionary multiobjectives algorithm to design ensembles.
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Regularized Negative Correlation Learning for Neural Network Ensembles
Huanhuan Chen,Xin Yao +1 more
TL;DR: This paper analyzes NCL and reveals that the training of NCL corresponds to training the entire ensemble as a single learning machine that only minimizes the MSE without regularization, which explains the reason why NCL is prone to overfitting the noise in the training set.
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Probabilistic Classification Vector Machines
Huanhuan Chen,Peter Tino,Xin Yao +2 more
TL;DR: PCVMs outperform other algorithms, including SVMSoft, SVMHard, RVM, and SVMPCVM, on most of the data sets under the three metrics, especially under AUC.
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Learning in the Model Space for Cognitive Fault Diagnosis
TL;DR: An innovative cognitive fault diagnosis framework that enables us to construct a fault library when unknown faults occur and incorporates the model distance into the learning algorithm in the model space.