咨询与建议

限定检索结果

文献类型

  • 550 篇 会议
  • 28 篇 期刊文献
  • 7 册 图书

馆藏范围

  • 585 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 470 篇 工学
    • 425 篇 计算机科学与技术...
    • 199 篇 软件工程
    • 110 篇 电气工程
    • 67 篇 信息与通信工程
    • 45 篇 生物工程
    • 42 篇 生物医学工程(可授...
    • 26 篇 控制科学与工程
    • 20 篇 光学工程
    • 13 篇 仪器科学与技术
    • 11 篇 机械工程
    • 10 篇 化学工程与技术
    • 9 篇 交通运输工程
    • 8 篇 电子科学与技术(可...
    • 7 篇 土木工程
  • 140 篇 理学
    • 69 篇 数学
    • 56 篇 生物学
    • 33 篇 物理学
    • 24 篇 统计学(可授理学、...
    • 19 篇 系统科学
    • 8 篇 化学
  • 90 篇 管理学
    • 63 篇 图书情报与档案管...
    • 35 篇 管理科学与工程(可...
    • 19 篇 工商管理
  • 46 篇 医学
    • 36 篇 临床医学
    • 22 篇 基础医学(可授医学...
    • 13 篇 药学(可授医学、理...
    • 7 篇 特种医学
    • 6 篇 公共卫生与预防医...
  • 11 篇 法学
    • 9 篇 社会学
  • 11 篇 教育学
    • 10 篇 教育学
  • 8 篇 经济学
  • 6 篇 农学

主题

  • 74 篇 machine learning
  • 55 篇 data mining
  • 36 篇 pattern recognit...
  • 33 篇 deep learning
  • 20 篇 feature extracti...
  • 18 篇 artificial intel...
  • 16 篇 support vector m...
  • 15 篇 learning systems
  • 11 篇 image classifica...
  • 9 篇 training
  • 8 篇 neural networks
  • 8 篇 face recognition
  • 8 篇 manifold learnin...
  • 8 篇 supervised learn...
  • 7 篇 pattern classifi...
  • 7 篇 big data
  • 7 篇 clustering algor...
  • 7 篇 classification (...
  • 7 篇 machine learning...
  • 7 篇 data models

机构

  • 4 篇 ukrainian cathol...
  • 3 篇 harbin inst tech...
  • 3 篇 guilin univ elec...
  • 3 篇 fujian univ tech...
  • 3 篇 college of compu...
  • 3 篇 kunming univ col...
  • 3 篇 nanjing univ sci...
  • 3 篇 concordia univ d...
  • 2 篇 shanghai jiao to...
  • 2 篇 australian e-hea...
  • 2 篇 telangana hydera...
  • 2 篇 key lab data gov...
  • 2 篇 idiap ch-1920 ma...
  • 2 篇 department of ma...
  • 2 篇 univ toronto dep...
  • 2 篇 univ montreal di...
  • 2 篇 chitkara univers...
  • 2 篇 natl univ singap...
  • 2 篇 pattern analysis...
  • 2 篇 univ katolik ind...

作者

  • 3 篇 li junbao
  • 3 篇 maier andreas
  • 3 篇 bengio s
  • 3 篇 deepa r.
  • 3 篇 deng fei
  • 3 篇 pan jeng-shyang
  • 3 篇 hu cong
  • 3 篇 zhang daoqiang
  • 3 篇 amelio alessia
  • 3 篇 maier-hein klaus
  • 3 篇 he chunhui
  • 2 篇 vrahatis aristid...
  • 2 篇 jin zhong
  • 2 篇 collobert r
  • 2 篇 tax dmj
  • 2 篇 sharma r
  • 2 篇 cilia nicole dal...
  • 2 篇 fontanella franc...
  • 2 篇 genov r
  • 2 篇 stiefelhagen rai...

语言

  • 568 篇 英文
  • 12 篇 中文
  • 9 篇 其他
  • 1 篇 俄文
检索条件"任意字段=1st International Workshop on Machine Learning and Data Mining in Pattern Recognition"
585 条 记 录,以下是561-570 订阅
排序:
Artificial Neural Networks Optimized with Unsupervised Clustering for IDS Classification
Artificial Neural Networks Optimized with Unsupervised Clust...
收藏 引用
international Conference on Smart Systems and data Science (ICSSD)
作者: Ichrak Lafram Naoual Berbiche Jamila El Alami Laboratoire d’Analyse des systèmes et Traitement d’Image et Management Mohammed V University Rabat Agdal Rabat Morocco
The following topics are dealt with: learning (artificial intelligence); data mining; pattern classification; Big data; production engineering computing; computer aided instruction; Internet; ontologies (artificial in... 详细信息
来源: 评论
Intelligent Computing and Applications: Proceedings of the international Conference on ICA, 22-24 December 2014  1
收藏 引用
丛书名: Advances in Intelligent Systems and Computing 343
2015年
作者: Durbadal Mandal, Rajib Kar, Swagatam Das, Bijaya Ketan Panigrahi (eds.)
The idea of the 1st international Conference on Intelligent Computing and Applications (ICICA 2014) is to bring the Research Engineers, Scientists, Industrialists, Scholars and students together from in and around the...
来源: 评论
Looking for an MR? Try METWiki Today
Looking for an MR? Try METWiki Today
收藏 引用
IEEE/ACM international workshop on Metamorphic Testing (MET)
作者: Xiaoyuan Xie Jiahao Li Chen Wang Tsong Yueh Chen State Key Lab of Software Engineering Computer School Wuhan University China Department of Computer Science and Software Engineering Swinburne University of Technology Australia
Metamorphic Testing (MT) has been demonstrated to successfully alleviate oracle problems in many areas, including machine learning, compilers, bioinformatics, etc. However, given a new MT task, it is still very challe... 详细信息
来源: 评论
Improving Detection Accuracy for Imbalanced Network Intrusion Classification using Cluster-based Under-sampling with Random Forests
Improving Detection Accuracy for Imbalanced Network Intrusio...
收藏 引用
international Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)
作者: Md. Ochiuddin Miah Sakib Shahriar Khan Swakkhar Shatabda Dewan Md. Farid Department of Computer Science & Engineering United International University Dhaka Bangladesh
Network intrusion classification i n t he imbalanced big data environment becomes a significant and important issue in information and communications technology (ICT) in this digital era. Presently, intrusion detectio... 详细信息
来源: 评论
Role of machine learning in Acute stroke Imaging: A Technical Review
Role of Machine Learning in Acute Stroke Imaging: A Technica...
收藏 引用
Advanced Computing and Emerging Technologies (ACET), international Conference on
作者: Gurmeet Singh Mahender Singh Akansha Gupta Deepjyot Singh Department of Electronics and Communication Engineering Guru Tegh Bahadur Institute of Technology (GGSIPU) New Delhi India Department of Computer Science and Engineering Guru Tegh Bahadur Institute of Technology (GGSIPU) New Delhi India
The utilization of machine learning (ML) and pattern recognition algorithms, which is used for analysis of complex datasets to detect similarities, differences, or trends, which can be particularly useful in medical d... 详细信息
来源: 评论
Schematic interpretation and the CLARET consolidated learning algorithm
Schematic interpretation and the CLARET consolidated learnin...
收藏 引用
international Conference on Knowledge-Based Intelligent Electronic Systems (KES)
作者: A. Pearce T. Caelli Department of Computer Science Curtin University of Technology Perth Australia
A new learning algorithm, the Consolidated learning Algorithm based on Relational Evidence Theory (CLARET) is presented, which relies on inductive logic programming and graph matching techniques. In relational evidenc... 详细信息
来源: 评论
Generative Adversarial Network-a Comparative Analysis
Generative Adversarial Network-a Comparative Analysis
收藏 引用
international Conference on Computational Science and Technology (ICCst)
作者: S. Gurusubramani B. Latha Dept. of CSE Sri Sai Ram Engineering College
machine learning (ML) is a subset of artificial intelligence domain that incorporates a wide range of techniques including Genetic algorithms, Artificial Neural Networks, Bayesian learning, decision trees. Analytical ... 详细信息
来源: 评论
Does the learning Principle Help Us Improve Hand-Crafted Finger-Knuckle-Print Features?
Does the Learning Principle Help Us Improve Hand-Crafted Fin...
收藏 引用
Communications, Control Systems and Signal Processing (CCSSP), 2020 1st international Conference on
作者: Mohamed Yassine Haouam Abdallah Meraoumia Issam Bendib Lakhdar Laimeche LAboratory of Mathematics Informatics and Systems (LAMIS) Larbi Tebessi University - Tebessa ALGERA
One of the most critical steps in pattern recognition systems is to extract the most distinctive features of the image. Therefore, the accuracy of these systems is strongly related to the efficiency of this step to re... 详细信息
来源: 评论
Virtual astronomy, information technology, and the new scientific methodology
Virtual astronomy, information technology, and the new scien...
收藏 引用
Computer Architectures for machine Perception (CAMP)
作者: S.G. Djorgovski Division of Physics Mathematics and Astronomy and with Center for Advanced Computing Research California Institute of Technology Pasadena CA USA
All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transform the scientific practice, but also pose... 详细信息
来源: 评论
A Novel Intrusion Detection System Based on Advanced Naive Bayesian Classification  1st
A Novel Intrusion Detection System Based on Advanced Naive B...
收藏 引用
1st international Conference on 5G for Future Wireless Networks, 5GWN 2017
作者: Wang, Yunpeng Li, Yuzhou Tian, Daxin Wang, Congyu Wang, Wenyang Hui, Rong Guo, Peng Zhang, Haijun Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University XueYuan Road No. 37 Beijing100191 China China Automotive Technology and Research Center Automotive Engineering Research Institute East Xianfeng Road No. 68 Tianjin300300 China School of Computer and Communication Engineering University of Science and Technology Beijing XueYuan Road No. 30 Beijing100083 China XueYuan Road No. 37 Beijing100191 China Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Si Pai Lou. 2 Nanjing210096 China Key Lab of Urban ITS Technology Optimization and Integration The Ministry of Public Security of China Hefei230088 China
Intrusion Detection System is a pattern recognition task whose aim is to detect and report the occurrence of abnormal or unknown network behaviors in a given network system being monitored. In this paper, we propose a... 详细信息
来源: 评论