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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2018    内容类型：期刊论文    专题：西安交通大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A novel bagging approach for variable ranking and selection via a mixed importance measure 期刊论文 JOURNAL OF APPLIED STATISTICS, 2018, 卷号: 45, 页码: 1734-1755 作者:  Zhang, Chun-Xia;  Zhang, Jiang-She;  Wang, Guan-Wei;  Ji, Nan-Nan 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/19 bagging  ensemble learning  variable selection ensemble  variable ranking  Variable selection  selection accuracy  stepwise search algorithm   Low dose CT reconstruction via L-1 norm dictionary learning using alternating minimization algorithm and balancing principle 期刊论文 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2018, 卷号: 26, 页码: 603-622 作者:  Wu, Junfeng;  Dai, Fang;  Hu, Gang;  Mou, Xuanqin 收藏  |  浏览/下载：18/0  |  提交时间：2019/11/19 L-1 norm dictionary learning  low dose CT reconstruction  alternating minimization algorithm  balancing principle   Listwise approach based on the cross-correntropy for learning to rank 期刊论文 ELECTRONICS LETTERS, 2018, 卷号: 54, 页码: 878-879 作者:  Wu, Mintao;  Zhu, Jihua;  Wang, Jun;  Pang, Shanmin;  Li, Yaochen 收藏  |  浏览/下载：11/0  |  提交时间：2019/11/19 cross-correntropy loss  training model  learning to rank  document retrieval  neural network model  listwise approach  learning (artificial intelligence)  information retrieval  gradient methods  entropy  listwise loss function  ListCCE  gradient descent algorithm   A parameterized proximal point algorithm for separable convex optimization 期刊论文 OPTIMIZATION LETTERS, 2018, 卷号: 12, 页码: 1589-1608 作者:  Bai, Jianchao;  Zhang, Hongchao;  Li, Jicheng 收藏  |  浏览/下载：4/0  |  提交时间：2019/11/26 Global convergence  Statistical learning  Separable convex programming  Proximal point algorithm   Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 页码: 2731-2742 作者:  Ying, Shihui;  Wen, Zhijie;  Shi, Jun;  Peng, Yaxin;  Peng, Jigen 收藏  |  浏览/下载：11/0  |  提交时间：2019/11/26 semisupervised learning  matrix manifold  intrinsic algorithm  Classification  distance metric learning   Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology 期刊论文 INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2018, 卷号: 28 作者:  Li, Xin;  Bai, Yanqin;  Peng, Yaxin;  Du, Shaoyi;  Ying, Shihui 收藏  |  浏览/下载：18/0  |  提交时间：2019/11/26 semi-supervised learning  nearest neighbor  multiple kernel  intrinsic algorithm  Distance metric learning   A new swarm intelligence optimized multiclass multi-kernel relevant vector machine: An experimental analysis in failure diagnostics of diesel engines 期刊论文 Structural Health Monitoring, 2018, 卷号: 17, 页码: 1503-1519 作者:  Li, Zhixiong;  Jiang, Yu;  Duan, Zhihe;  Peng, Zhongxiao 收藏  |  浏览/下载：3/0  |  提交时间：2019/11/26 Failure diagnostics  Intelligent computation  Machine condition monitoring  Manifold learning algorithm  Multi-kernel functions  Predictive maintenance  Relevant vector machines  Structure monitoring   DNA Cryptography and Deep Learning using Genetic Algorithm with NW algorithm for Key Generation 期刊论文 JOURNAL OF MEDICAL SYSTEMS, 2018, 卷号: 42 作者:  Kalsi, Shruti;  Kaur, Harleen;  Chang, Victor 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26 Cryptography  Genetic algorithm  Deep learning  Needleman-Wunsch algorithm (NW) algorithm  DNA computing  DNA cryptography   Deep Weighted Extreme Learning Machine 期刊论文 Cognitive Computation, 2018, 卷号: 10, 页码: 890-907 作者:  Wang, Tianlei;  Cao, Jiuwen;  Lai, Xiaoping;  Chen, Badong 收藏  |  浏览/下载：9/0  |  提交时间：2019/11/26 AdaBoost algorithm  Benchmark datasets  Complex characteristics  Emerging technologies  Extreme learning machine  Imbalanced data  Multi-layer network  Standard algorithms   Spectral Learning Algorithm Reveals Propagation Capability of Complex Networks 期刊论文 IEEE Transactions on Cybernetics, 2018 作者:  Xu, Shuang;  Wang, Pei;  Zhang, Chun-Xia;  Lu, Jinhu 收藏  |  浏览/下载：2/0  |  提交时间：2019/11/26 important node  Iterative algorithm  Prediction algorithms  Probabilistic framework  Spectral learning algorithms  SpectralRank (SR)  Suscep-tible-infected-removed models  Theoretical foundations