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» A Boosting Algorithm for Regression
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IEEEIAS
2009
IEEE
15 years 6 months ago
Threats Identification in Healthcare Information Systems Using Genetic Algorithm and Cox Regression
: Threats to information security for healthcare information system increased tremendously. There are various factors that contribute to information security threats, many research...
Rabiah Ahmad, Ganthan Narayana Samy, Nuzulha Khilw...
CEC
2005
IEEE
15 years 5 months ago
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary alg
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
IJCNN
2006
IEEE
15 years 5 months ago
Greedy forward selection algorithms to Sparse Gaussian Process Regression
Abstract— This paper considers the basis vector selection issue invloved in forward selection algorithms to sparse Gaussian Process Regression (GPR). Firstly, we re-examine a pre...
Ping Sun, Xin Yao
TSMC
2008
114views more  TSMC 2008»
14 years 10 months ago
Alpha-Cut Implemented Fuzzy Clustering Algorithms and Switching Regressions
In the fuzzy c-means (FCM) clustering algorithm,
Miin-Shen Yang, Kuo-Lung Wu, June-Nan Hsieh, Jian ...
ICML
2004
IEEE
16 years 3 days ago
Leveraging the margin more carefully
Boosting is a popular approach for building accurate classifiers. Despite the initial popular belief, boosting algorithms do exhibit overfitting and are sensitive to label noise. ...
Nir Krause, Yoram Singer