机译:通过受限的Boltzmann机器学习集成分类器
Institute of Statistical Decision and Machine Learning, Faculty of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an Shaanxi 710049, China;
Institute of Statistical Decision and Machine Learning, Faculty of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an Shaanxi 710049, China;
Institute of Statistical Decision and Machine Learning, Faculty of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an Shaanxi 710049, China;
Department of Applied Mathematics, School of Science, Xi'an University of Technology, Xi'an Shaanxi 710054, China;
Ensemble classifier; Bagging; Restricted Boltzmann machine; Deep learning; Majority voting; Diversity;
机译:集成分类受限玻尔兹曼机:一种基于深度学习的分类方法
机译:时间限制玻尔兹曼机和递归时间限制玻尔兹曼机的通用逼近结果
机译:基于离散小波变换分解的时间序列预测的受限Boltzmann机有色和人工神经网络模型
机译:使用分区受限玻尔兹曼机在有限计算资源下快速分类器学习
机译:基于整数的受限Boltzmann机器分类器的嵌入式系统有效的机器学习推断
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:使用随机计算来减少限制Boltzmann机器分类器的硬件要求