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机译:基于最小-最大模块化网络的并行极限学习机集成
Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China,MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China;
Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China,MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China;
Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China,MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China;
Center for Brain-Like Computing and Machine Intelligence, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China,MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China;
Extreme learning machine; Min-max modular network; Big data; Ensemble method; Parallel learning;
机译:使用集合增强型在线顺序并行极端学习机剩余对集成模块化航空电子的使用寿命预测
机译:一种基于贝叶斯信仰网络的新型集合学习,耦合了一种用于闪电泛敏感映射的极限学习机
机译:基于新型多阶段深度信念网络的极限学习机集成学习范式用于信用风险评估
机译:使用极限学习机集成自动从视网膜图像并行检测新生血管 * sup>
机译:通过机器学习方法预测癌症表型:从基因模块化到深层神经网络
机译:基于机器学习和深度学习分类的集合的平行方法的身体活动识别
机译:增强的在线顺序并行极限学习机及其在剩余模块化航空电子遗留使用寿命预测中的应用
机译:解决基于机器学习的网络入侵检测系统中极端类不平衡的方法。