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The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection

机译：相关性样本特征机：联合特征样本选择的稀疏贝叶斯学习方法

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Yalda Mohsenzadeh; Hamid Sheikhzadeh; Senior Member; Ali M. Reza; Mahdi M. Kalayeh;
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年度 2014
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1. The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection [J] . Mohsenzadeh Y., Sheikhzadeh H., Reza A.M., Cybernetics, IEEE Transactions on . 2013,第6期

机译：相关样本特征机：一种用于联合特征样本选择的稀疏贝叶斯学习方法
2. Incremental relevance sample-feature machine: A fast marginal likelihood maximization approach for joint feature selection and classification [J] . Mohsenzadeh Yalda, Sheikhzadeh Hamid, Nazari Sobhan Pattern Recognition: The Journal of the Pattern Recognition Society . 2016,第Null期

机译：增量相关样本特征机：用于联合特征选择和分类的快速边际似然最大化方法
3. Variational Relevant Sample-Feature Machine: A fully Bayesian approach for embedded feature selection [J] . Mirzaei Ali, Mohsenzadeh Yalda, Sheikhzadeh Hamid Neurocomputing . 2017,第JUNa7期

机译：变体相关样本特征机：用于嵌入特征选择的完全贝叶斯方法
4. Sparse Bayesian Adversarial Learning Using Relevance Vector Machine Ensembles [C] . Zhou Yan, Kantarcioglu Murat, Thuraisingham Bhavani 12th IEEE International Conference on Data Mining. . 2012

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5. Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach [D] . Franklin, Bryan M. 2018

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6. Detecting single-nucleotide polymorphism by single-nucleotide polymorphism interactions in rheumatoid arthritis using a two-step approach with machine learning and a Bayesian threshold least absolute shrinkage and selection operator (LASSO) model [O] . Oscar González-Recio, Evangelina López de Maturana, Andrés T Vega, 2009

机译：使用机器学习和贝叶斯阈值最小绝对收缩和选择算子（LASSO）模型的两步法通过类风湿关节炎中的单核苷酸多态性相互作用检测单核苷酸多态性
7. A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning [O] . Lapedriza Garcia, Àgata, Seguí, Santi, Masip Rodó, David, 2008

机译：一种用于联合特征选择和分类器学习的稀疏贝叶斯方法

The Relevance Sample-Feature Machine: A Sparse Bayesian Learning Approach to Joint Feature-Sample Selection

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