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| 1 | A COMPARATIVE STUDY ON SHILLING DETECTION METHODS FOR TRUSTWORTHY RECOMMENDATIONS显示文摘 | Youquan Wang Liqiang Qian Fanzhang Li Lu Zhang | 2018 | Journal of Systems Science and Systems Engineering2018，27，4： | 3 |
| 2 | Geometry Algorisms of Dynkin Diagrams in Lie Group Machine Learning显示文摘This paper uses the geometric method to describe Lie group machine learning(LML)based on the theoretical framework of LML,which gives the geometric algorithms of Dynkin diagrams in LML.It includes the basic conceptions of Dynkin diagrams in LML,the classification theorems of Dynkin diagrams in LML,the classification algorithm of Dynkin diagrams in LML and the verification of the classification algorithm with experimental results. | Huan Xu Fanzhang Li | 2006 | 南昌工程学院学报2006，25，2： | 3 |
| 3 | The Frame of DFL Programming Language显示文摘 | Xiaofang Zhao Fanzhang Li | 2006 | 通讯和计算机(中英文版)2006，3，1： | 2 |
| 4 | The Multi-agent Learning Model Based on Dynamic Fuzzy Logic显示文摘 | Liping Xie Fanzhang Li | 2006 | 通讯和计算机(中英文版)2006，3，3： | 2 |
| 5 | Unsupervised Nonlinear Adaptive Manifold Learning for Global and Local Information显示文摘In this paper,we propose an Unsupervised Nonlinear Adaptive Manifold Learning method(UNAML)that considers both global and local information.In this approach,we apply unlabeled training samples to study nonlinear manifold features,while considering global pairwise distances and maintaining local topology structure.Our method aims at minimizing global pairwise data distance errors as well as local structural errors.In order to enable our UNAML to be more efficient and to extract manifold features from the external source of new data,we add a feature approximate error that can be used to learn a linear extractor.Also,we add a feature approximate error that can be used to learn a linear extractor.In addition,we use a method of adaptive neighbor selection to calculate local structural errors.This paper uses the kernel matrix method to optimize the original algorithm.Our algorithm proves to be more effective when compared with the experimental results of other feature extraction methods on real face-data sets and object data sets. | Jiajun Gao Fanzhang Li Bangjun Wang Helan Liang | 2021 | Tsinghua Science and Technology2021，26，2： | 2 |
| 6 | Support vector novelty detection in hidden space 显示文摘 | ZHANG Li WANG Bangjun LI Fanzhang | 2011 | Journal of Computational Information Systems2011，，7： | 1 |
| 7 | Machine Learning Model Based on Dynamic Fuzzy Sets(DFS) and Its Validation显示文摘 | Jing ZHANG Fanzhang LI | 2006 | Journal of Computational Information Systems (El index)2006，10，： | 1 |
| 8 | The Study of machine learning theory frame based on Lie group显示文摘 | Li Fanzhang Kang Yu | 2004 | Journal of Yunnan Nationalities University2004，13，4： | 1 |
| 9 | The theory framework of Lie Group machine learning(LML)显示文摘 | Li Fanzhang Xu Huan | 2007 | Computer Technology and Application2007，，3： | 1 |
| 10 | Sup- port vector novelty detection in hidden space 显示文摘 | ZHANG Li WANG Bangjun LI Fanzhang | 2011 | Jour- nal of Computational Information Systems2011，7，15： | 1 |
| 11 | A Double Auction Mechanism for Heterogeneous Multi-unit Spectrum Trading显示文摘The last decade has witnessed a rapid growth in wireless communications technology, and as a result the demand for spectrum resources increased rapidly.Unfortunately, many new wireless demanders cannot access the limited wireless licenses in time while large chunks of spectrum are idle. To solve this, we design a multiunit double auction mechanism for heterogeneous spectrum channels, which take the spatial and temporal reuse into consideration. The proposed scheme first introduces the multi-participants multi-heterogeneous-spectrum trading double auction to illustrate the system model. Some techniques such as spectrum categorize, virtual sellers and buyers' conflict graph construction, and reconstruction of buyer groups are adopted to achieve a high efficiency of the algorithm. Then, we also prove the truthfulness, individual rationality, and budget balance of the proposed scheme. Finally, the simulation results show that the practical performance of the proposed scheme can efficiently improve the spectrum transaction ratio, reuse ratio, and the buyer's satisfactory ratio. | SUN Yu'e LI Meixuan HUANG He TIAN Miaomiao LI Fanzhang HUANG Liusheng | 2016 | Chinese Journal of Electronics2016，25，5： | 0 |
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