咨询与建议

限定检索结果

文献类型

  • 23 篇 期刊文献
  • 15 篇 会议

馆藏范围

  • 38 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 34 篇 工学
    • 19 篇 电气工程
    • 16 篇 计算机科学与技术...
    • 4 篇 信息与通信工程
    • 3 篇 仪器科学与技术
    • 2 篇 力学(可授工学、理...
    • 2 篇 机械工程
    • 2 篇 软件工程
    • 1 篇 动力工程及工程热...
    • 1 篇 电子科学与技术(可...
    • 1 篇 建筑学
    • 1 篇 土木工程
    • 1 篇 石油与天然气工程
    • 1 篇 核科学与技术
    • 1 篇 生物医学工程(可授...
  • 7 篇 理学
    • 4 篇 生物学
    • 2 篇 化学
    • 1 篇 数学
    • 1 篇 地球物理学
    • 1 篇 系统科学
    • 1 篇 生态学
  • 6 篇 管理学
    • 4 篇 管理科学与工程(可...
    • 1 篇 工商管理
    • 1 篇 公共管理
    • 1 篇 图书情报与档案管...
  • 2 篇 医学
    • 1 篇 基础医学(可授医学...
    • 1 篇 公共卫生与预防医...
  • 1 篇 法学
    • 1 篇 社会学
  • 1 篇 教育学
    • 1 篇 心理学(可授教育学...
  • 1 篇 农学

主题

  • 38 篇 supervised learn...
  • 6 篇 learning (artifi...
  • 5 篇 feature extracti...
  • 4 篇 machine learning
  • 3 篇 neurons
  • 3 篇 training
  • 2 篇 support vector m...
  • 2 篇 self-organized l...
  • 2 篇 neural nets
  • 2 篇 fuzzy neural net...
  • 2 篇 skin potential r...
  • 2 篇 least squares ap...
  • 2 篇 unmanned hybrid ...
  • 2 篇 classification
  • 2 篇 backpropagation
  • 2 篇 mathematical mod...
  • 2 篇 electrocardiogra...
  • 1 篇 spiking neural n...
  • 1 篇 planetary gearbo...
  • 1 篇 iris recognition

机构

  • 1 篇 bogazici univ de...
  • 1 篇 faculty of biosc...
  • 1 篇 univ texas arlin...
  • 1 篇 shandong univ sc...
  • 1 篇 univ so calif ne...
  • 1 篇 lg elect home ap...
  • 1 篇 univ kebangsaan ...
  • 1 篇 taiyuan tourism ...
  • 1 篇 college of autom...
  • 1 篇 univ illinois de...
  • 1 篇 natl res ctr dok...
  • 1 篇 sri sivasubraman...
  • 1 篇 imam mohammad ib...
  • 1 篇 wuhan univ sch i...
  • 1 篇 univ nevada will...
  • 1 篇 school of electr...
  • 1 篇 northwest normal...
  • 1 篇 water resources ...
  • 1 篇 univ nacl ingn c...
  • 1 篇 zhejiang univ co...

作者

  • 2 篇 zontone pamela
  • 2 篇 affanni antonio
  • 2 篇 rinaldo roberto
  • 2 篇 bernardini ricca...
  • 2 篇 piras alessandro
  • 1 篇 abiyev rahib
  • 1 篇 dehghan mehdi
  • 1 篇 hu yihong
  • 1 篇 yang xiaofei
  • 1 篇 del linz leonida
  • 1 篇 budhiraja sahib ...
  • 1 篇 da silva coelho ...
  • 1 篇 peng bo
  • 1 篇 choi jy
  • 1 篇 lin jin
  • 1 篇 chen guojun
  • 1 篇 nakvisut amomsak
  • 1 篇 mousazadeh saman
  • 1 篇 aouzellag djamal
  • 1 篇 wan can

语言

  • 37 篇 英文
  • 1 篇 其他
检索条件"主题词=Supervised Learning Algorithm"
38 条 记 录,以下是21-30 订阅
排序:
Keyphrase Extraction Based on Prior Knowledge  18
Keyphrase Extraction Based on Prior Knowledge
收藏 引用
18th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL)
作者: He, Guoxiu Fang, Junwei Cui, Haoran Wu, Chuan Lu, Wei Wuhan Univ Sch Informat Management Wuhan Hubei Peoples R China
Keyphrase is an important way to quickly get the topic of a document by providing highly-summative information. The previous approaches for keyphrase extraction simply rank keyphrases according to statistics-based mod... 详细信息
来源: 评论
An Optimal Construction and Training of Second Order RBF Network for Approximation and Illumination invariant Image Segmentation
An Optimal Construction and Training of Second Order RBF Net...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Cai, Xun Tyagi, Kanishka Manry, Michael T. Shandong Univ Sch Comp Sci & Technol Jinan 250101 Shandong Peoples R China Univ Texas Arlington Dept Elect Engn Arlington 76010 TX USA
In this paper, we proposed an hybrid optimal radial-basis function (RBF) neural network for approximation and illumination invariant image segmentation. Unlike other RBF learning algorithms, the proposed paradigm intr... 详细信息
来源: 评论
An Adaptive Neuro-Fuzzy Architecture for Intelligent Control of a Servo System and its Experimental Evaluation
An Adaptive Neuro-Fuzzy Architecture for Intelligent Control...
收藏 引用
IEEE International Symposium on Industrial Electronics (ISIE)
作者: Aras, Ayse Cisel Kayacan, Erdal Oniz, Yesim Kaynak, Okyay Abiyev, Rahib Bogazici Univ Dept Elect & Elect Engn TR-34342 Istanbul Turkey Near East Univ Dept Comp Engn Nicosia Cyprus
In this paper the development of an adaptive neuro-fuzzy architecture for the speed control of a servo system with nonlinear load is presented. The synthesis of the structure is described and a learning algorithm for ... 详细信息
来源: 评论
VOICE ACTIVITY DETECTION IN PRESENCE OF TRANSIENT NOISE USING SPECTRAL CLUSTERING AND DIFFUSION KERNELS  28
VOICE ACTIVITY DETECTION IN PRESENCE OF TRANSIENT NOISE USIN...
收藏 引用
IEEE 28th Convention of Electrical and Electronics Engineers in Israel (IEEEI)
作者: Rosen, Oren Mousazadeh, Saman Cohen, Israel Technion Israel Inst Technol IL-32000 Haifa Israel
In this paper, we introduce a voice activity detection (VAD) algorithm based on spectral clustering and diffusion kernels. The proposed algorithm is a supervised learning algorithm comprising of learning and testing s... 详细信息
来源: 评论
Cellular Automata learning algorithm for Classification
Cellular Automata Learning Algorithm for Classification
收藏 引用
International Electrical Engineering Congress (iEECON)
作者: Wongthanavasu, Sartra Ponkaew, Jesada Khon Kaen Univ Facultly Sci Dept Comp Sci Cellular Automata & Knowledge Engn CAKE Lab Khon Kaen 40002 Thailand
Cellular Automata (CA) were proved as universal computation model. This means that CA are capable of modeling any problems to arrive at the solutions. Since then, researchers have paid efforts to seek the possible cla... 详细信息
来源: 评论
An Experimental Research of Traffic Identification algorithms in Broadband Network
An Experimental Research of Traffic Identification Algorithm...
收藏 引用
1st International Symposium on Computer Network and Multimedia Technology
作者: Chen, Na Shou, Guochu Hu, YiHong Guo, ZhiGang Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing 100088 Peoples R China
Adopting the machine learning method to identify the traffic in the broadband network has become a new research direction in this field. In this paper, we evaluate 11 kinds of supervised learning algorithm of the mach... 详细信息
来源: 评论
A Comparison of Sound Localisation Techniques using Cross-Correlation and Spiking Neural Networks for Mobile Robotics
A Comparison of Sound Localisation Techniques using Cross-Co...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Wall, Julie A. McGinnity, Thomas M. Maguire, Liam P. Univ Ulster Intelligent Syst Res Ctr Sch Comp & Intelligent Syst Coleraine BT52 1SA Londonderry North Ireland
This paper outlines the development of a cross-correlation algorithm and a spiking neural network (SNN) for sound localisation based on real sound recorded in a noisy and dynamic environment by a mobile robot. The SNN... 详细信息
来源: 评论
Identifying high-risk online gamblers: a comparison of data mining procedures
收藏 引用
INTERNATIONAL GAMBLING STUDIES 2014年 第1期14卷 53-63页
作者: Philander, Kahlil S. Univ Nevada William F Harrah Coll Hotel Adm Las Vegas NV 89154 USA
Using play data from a sample of virtual live action sports betting gamblers, this study evaluates a set of classification and regression algorithms to determine which techniques are more effective in identifying prob... 详细信息
来源: 评论
A Training algorithm for SpikeProp Improving Stability of learning Process
A Training Algorithm for SpikeProp Improving Stability of Le...
收藏 引用
International Joint Conference on Neural Networks (IJCNN)
作者: Wakamatsu, Toshiki Takase, Haruhiko Kawanaka, Hiroharu Tsuruoka, Shinji Mie Univ Grad Sch Engn Tsu Mie 514 Japan
In this paper, we aims to improve stability of learning processes by the SpikeProp algorithm. We proposed the method that reduce the increase of the error in learning processes. It repeats two steps: (1) original Spik... 详细信息
来源: 评论
A Two-stage Pattern Recognition Method for Electric Customer Classification in Smart Grid  7
A Two-stage Pattern Recognition Method for Electric Customer...
收藏 引用
IEEE International Conference on Smart Grid Communications (SmartGridComm)
作者: Peng, Bo Wan, Can Dong, Shufeng Lin, Jin Song, Yonghua Zhang, Yi Xiong, Jun Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Tsinghua Univ Dept Elect Engn Beijing 10084 Peoples R China Hong Kong Polytech Univ Dept Elect Engn Hong Kong Hong Kong Peoples R China State Grid Fujian Elect Power Res Inst Fuzhou 350007 Peoples R China State Grid Xiamen Elect Power Supply Co Xiamen 361000 Peoples R China
Identifying the consumption patterns of electric customers and grouping them to classes according to their load characteristics can be very meaningful for power supply and demand side management in smart grid. Previou... 详细信息
来源: 评论