咨询与建议

限定检索结果

文献类型

  • 3,080 篇 会议
  • 141 册 图书
  • 24 篇 期刊文献

馆藏范围

  • 3,244 篇 电子文献
  • 1 种 纸本馆藏

日期分布

学科分类号

  • 2,110 篇 工学
    • 1,926 篇 计算机科学与技术...
    • 1,072 篇 软件工程
    • 412 篇 信息与通信工程
    • 286 篇 电气工程
    • 265 篇 生物工程
    • 226 篇 控制科学与工程
    • 169 篇 生物医学工程(可授...
    • 81 篇 化学工程与技术
    • 76 篇 机械工程
    • 68 篇 光学工程
    • 68 篇 仪器科学与技术
    • 64 篇 网络空间安全
    • 63 篇 电子科学与技术(可...
    • 62 篇 安全科学与工程
    • 57 篇 动力工程及工程热...
  • 767 篇 理学
    • 435 篇 数学
    • 290 篇 生物学
    • 149 篇 统计学(可授理学、...
    • 137 篇 物理学
    • 128 篇 系统科学
    • 90 篇 化学
  • 502 篇 管理学
    • 304 篇 图书情报与档案管...
    • 228 篇 管理科学与工程(可...
    • 93 篇 工商管理
  • 222 篇 医学
    • 191 篇 临床医学
    • 123 篇 基础医学(可授医学...
    • 87 篇 药学(可授医学、理...
    • 59 篇 公共卫生与预防医...
  • 69 篇 法学
    • 67 篇 社会学
  • 52 篇 教育学
    • 47 篇 教育学
  • 35 篇 经济学
  • 28 篇 农学
  • 6 篇 艺术学
  • 4 篇 军事学
  • 1 篇 文学

主题

  • 571 篇 data mining
  • 546 篇 machine learning
  • 241 篇 pattern recognit...
  • 183 篇 deep learning
  • 173 篇 feature extracti...
  • 156 篇 artificial intel...
  • 151 篇 support vector m...
  • 114 篇 accuracy
  • 113 篇 machine learning...
  • 111 篇 training
  • 93 篇 data models
  • 82 篇 neural networks
  • 77 篇 data mining and ...
  • 65 篇 classification
  • 62 篇 sentiment analys...
  • 61 篇 classification a...
  • 59 篇 big data
  • 57 篇 predictive model...
  • 50 篇 face recognition
  • 48 篇 prediction algor...

机构

  • 7 篇 maharishi school...
  • 6 篇 guangdong univer...
  • 5 篇 centre of interd...
  • 5 篇 chitkara univers...
  • 5 篇 uttaranchal univ...
  • 5 篇 uttaranchal inst...
  • 5 篇 institute of aut...
  • 4 篇 shanghai jiao to...
  • 4 篇 chitkara univers...
  • 4 篇 school of inform...
  • 4 篇 indian statistic...
  • 4 篇 south china univ...
  • 4 篇 galgotias univer...
  • 4 篇 zhejiang univers...
  • 4 篇 maharishi school...
  • 4 篇 department of cs...
  • 4 篇 pune
  • 4 篇 university of ca...
  • 4 篇 school of comput...
  • 4 篇 department of co...

作者

  • 9 篇 de-shuang huang
  • 7 篇 coenen frans
  • 7 篇 venkatesh svetha
  • 7 篇 petra perner
  • 7 篇 tianrui li
  • 6 篇 ryszard tadeusie...
  • 6 篇 marcin korytkows...
  • 6 篇 jacek m. zurada
  • 6 篇 krasotkina olga
  • 6 篇 lotfi a. zadeh
  • 6 篇 mottl vadim
  • 6 篇 leszek rutkowski
  • 5 篇 vitoantonio bevi...
  • 5 篇 sankar k. pal
  • 4 篇 waiyamai kitsana
  • 4 篇 sozo inoue
  • 4 篇 sergei o. kuznet...
  • 4 篇 duoqian miao
  • 4 篇 shengli xie
  • 4 篇 hepu deng

语言

  • 3,100 篇 英文
  • 135 篇 其他
  • 32 篇 中文
  • 1 篇 西班牙文
  • 1 篇 土耳其文
检索条件"任意字段=3rd International Conference on Machine Learning and Data Mining in Pattern Recognition"
3245 条 记 录,以下是401-410 订阅
排序:
Handwritten Character recognition Using machine learning  3
Handwritten Character Recognition Using Machine Learning
收藏 引用
3rd international conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023
作者: Kumar, Abhishek Srivastava, Kiran Saraswat, Aman Mishra, Ayush Masand, Ishika Fhadil, Fay GCET Dept of EEE UP Gr Noida India Al-Farahidi University Medical Laboratory Techniques Department Baghdad Iraq
Within the domain of pattern recognition, the automated identification of handwritten characters or symbols presents a complex handwriting recognition challenges. In this paper, a novel methodology is presented, which... 详细信息
来源: 评论
Artificial Intelligence Platform for Low-Cost Robotics  3
Artificial Intelligence Platform for Low-Cost Robotics
收藏 引用
3rd international conference on Signal Processing and Information Security, ICSPIS 2020
作者: Afsari, Kiyan Saadeh, Maha Middlesex University Dubai United Arab Emirates
The rise of Artificial Intelligence (AI) and robotics in the past decade has created various career opportunities in many industries such as robotics, manufacturing and healthcare. Thus, skills such as AI and robotics... 详细信息
来源: 评论
Facial Expression recognition using machine learning models in FER2013  3
Facial Expression Recognition using Machine Learning models ...
收藏 引用
3rd IEEE international conference on Frontiers Technology of Information and Computer, ICFTIC 2021
作者: Luo, Jinyu Xie, Zhuocheng Zhu, Feiyao Zhu, Xiaohu University of Toronto Department of Statistics TorontoON Canada Mathematics and Shanghai University Shanghai China Hefei University of Technology School of Mathematics of HFUT Hefei China Arizona State University Ira A. Fulton Schools of Engineering Tempe United States
Facial expression recognition aims to classify human expression using the designed algorithm. Recently, the popular FER2013 dataset suffered several bottlenecks for learning a good model. In this paper, we aim to desi... 详细信息
来源: 评论
Predictions with Confidence in Applications
收藏 引用
6th international conference on machine learning and data mining in pattern recognition
作者: Dashevskiy, Mikhail Luo, Zhiyuan Univ London Comp Learning Res Ctr Egham TW20 0EX Surrey England
Many applications require predictions with confidence. We are interested in Confidence machines which are algorithms that call provide some measure oil how confident they are that their Output is correct. Confidence M... 详细信息
来源: 评论
Defensibility-based Classification for Argument mining  14
Defensibility-based Classification for Argument Mining
收藏 引用
14th IEEE international conference on data mining (IEEE ICDM)
作者: Kido, Hiroyuki Ohsawa, Yukio Univ Tokyo Sch Engn Bunkyo Ku 7-3-1 Hongo Tokyo 1138656 Japan
This paper shows a preliminary report regarding classification techniques based on argumentation theory in artificial intelligence. A classification problem is defined on a directed graph, i.e., an argumentation frame... 详细信息
来源: 评论
Actitracker: A Smartphone-based Activity recognition System for Improving Health and Well-Being  3
Actitracker: A Smartphone-based Activity Recognition System ...
收藏 引用
3rd IEEE/ACM international conference on data Science and Advanced Analytics (DSAA)
作者: Weiss, Gary M. Lockhart, Jeffrey W. Pulickal, Tony T. McHugh, Paul T. Ronan, Isaac H. Timko, Jessica L. Fordham Univ Dept Comp & Informat Sci Bronx NY 10458 USA
Actitracker is a smartphone-based activity-monitoring service to help people ensure they receive sufficient activity to maintain proper health. This free service allowed people to set personal activity goals and monit... 详细信息
来源: 评论
Prediction of Coronary Heart Disease using machine learning: An Experimental Analysis  19
Prediction of Coronary Heart Disease using Machine Learning:...
收藏 引用
3rd international conference on Deep learning Technologies (ICDLT)
作者: Gonsalves, Amanda H. Thabtah, Fadi Mohammad, Rami Mustafa A. Singh, Gurpreet Manukau Inst Technol Digital Technol Manukau Stn Rd Auckland New Zealand Imam Abdulrahman Bin Faisal Univ Coll Comp Sci & Informat Technol Dept Comp Informat Syst POB 1982 Dammam Saudi Arabia
The field of medical analysis is often referred to be a valuable source of rich information. Coronary Heart Disease (CHD) is one of the major causes of death all around the world therefore early detection of CHD can h... 详细信息
来源: 评论
Human Action recognition Using Autoencoder  3
Human Action Recognition Using Autoencoder
收藏 引用
3rd IEEE international conference on Computer and Communications (ICCC)
作者: Xiao, Qinkun Si, Yang Xian Technol Univ Sch Elect Informat Engn Xian Shaanxi Peoples R China
In this research, we developed a new deep neural network model to identify human action that was composed of an autoencoder and a pattern recognition neural network (PRNN). Our approach was divided into two parts: a s... 详细信息
来源: 评论
Study of models clustering and its application to ensemble learning
Study of models clustering and its application to ensemble l...
收藏 引用
3rd international conference on Natural Computation (ICNC 2007)
作者: Li, Kai Cui, Lijuan HeBei Univ Sch Math & Comp Baoding 071002 Peoples R China Hebei Univ Library Baoding 071002 Peoples R China
Clustering technique is an important tool for data analysis and has a promising prospect in data mining, pattern recognition, etc. Usually, objects in clustering analysis are of vectors, which consist of some features... 详细信息
来源: 评论
AdaBoost learning in Compressed Space for Visual Object recognition  3
AdaBoost Learning in Compressed Space for Visual Object Reco...
收藏 引用
3rd international conference on Information Science and Control Engineering (ICISCE)
作者: Pei, Zhijun Han, Lei Tianjin Univ Technol & Educ Dept Elect Engn Tianjin Peoples R China
The CS framework is useful for a much wide range of pattern recognition tasks such as visual object classification. It is possible to directly extract features from a small number of random projections without ever re... 详细信息
来源: 评论