咨询与建议

限定检索结果

文献类型

  • 8,607 篇 会议
  • 4,697 篇 期刊文献
  • 6 篇 学位论文
  • 2 篇 资讯
  • 1 册 图书

馆藏范围

  • 13,313 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 12,851 篇 工学
    • 12,025 篇 计算机科学与技术...
    • 9,617 篇 软件工程
    • 1,723 篇 生物工程
    • 1,637 篇 信息与通信工程
    • 1,460 篇 控制科学与工程
    • 1,212 篇 电气工程
    • 595 篇 生物医学工程(可授...
    • 351 篇 机械工程
    • 344 篇 光学工程
    • 328 篇 电子科学与技术(可...
    • 305 篇 化学工程与技术
    • 232 篇 安全科学与工程
    • 203 篇 动力工程及工程热...
    • 183 篇 仪器科学与技术
    • 142 篇 土木工程
  • 5,725 篇 理学
    • 3,370 篇 数学
    • 1,902 篇 生物学
    • 1,297 篇 统计学(可授理学、...
    • 797 篇 物理学
    • 667 篇 系统科学
    • 244 篇 化学
  • 2,183 篇 管理学
    • 1,359 篇 图书情报与档案管...
    • 885 篇 管理科学与工程(可...
    • 442 篇 工商管理
  • 676 篇 医学
    • 524 篇 基础医学(可授医学...
    • 519 篇 临床医学
    • 308 篇 药学(可授医学、理...
  • 339 篇 法学
    • 322 篇 社会学
  • 192 篇 教育学
    • 182 篇 教育学
  • 159 篇 经济学
    • 154 篇 应用经济学
  • 142 篇 农学
  • 81 篇 文学
  • 15 篇 艺术学
  • 13 篇 军事学
  • 3 篇 哲学
  • 1 篇 历史学

主题

  • 13,313 篇 learning algorit...
  • 101 篇 neural networks
  • 91 篇 learning
  • 72 篇 machine learning
  • 62 篇 neural network
  • 49 篇 algorithms
  • 33 篇 artificial intel...
  • 29 篇 learning (artifi...
  • 28 篇 classifiers
  • 27 篇 network models
  • 26 篇 learning systems
  • 26 篇 classification
  • 26 篇 reward
  • 24 篇 iterative method...
  • 24 篇 optimization
  • 24 篇 game theory
  • 24 篇 artificial neura...
  • 22 篇 dataset
  • 21 篇 reinforcement le...
  • 20 篇 training

机构

  • 37 篇 university of ca...
  • 37 篇 stanford univers...
  • 32 篇 carnegie mellon ...
  • 30 篇 google research ...
  • 29 篇 uc berkeley unit...
  • 27 篇 carnegie mellon ...
  • 26 篇 columbia univers...
  • 24 篇 mit united state...
  • 23 篇 university colle...
  • 23 篇 microsoft resear...
  • 22 篇 massachusetts in...
  • 22 篇 deepmind united ...
  • 22 篇 google research
  • 21 篇 tsinghua univers...
  • 21 篇 princeton univer...
  • 20 篇 cornell universi...
  • 19 篇 deepmind
  • 19 篇 university of pe...
  • 18 篇 university of so...
  • 18 篇 mit cambridge ma...

作者

  • 23 篇 mohri mehryar
  • 21 篇 levine sergey
  • 21 篇 tao dacheng
  • 20 篇 liu yang
  • 15 篇 moran shay
  • 15 篇 precup doina
  • 14 篇 zhou zhi-hua
  • 14 篇 krause andreas
  • 14 篇 jin rong
  • 14 篇 mansour yishay
  • 14 篇 wang wei
  • 13 篇 hanneke steve
  • 13 篇 bengio yoshua
  • 12 篇 liu tongliang
  • 11 篇 yang qiang
  • 11 篇 pontil massimili...
  • 11 篇 daumé hal
  • 11 篇 sun wen
  • 11 篇 silver david
  • 11 篇 diakonikolas ili...

语言

  • 11,464 篇 英文
  • 1,698 篇 其他
  • 118 篇 中文
  • 17 篇 法文
  • 14 篇 土耳其文
  • 7 篇 德文
  • 6 篇 日文
  • 5 篇 西班牙文
  • 5 篇 朝鲜文
  • 4 篇 俄文
  • 3 篇 葡萄牙文
  • 1 篇 乌克兰文
检索条件"主题词=Learning algorithms"
13313 条 记 录,以下是4341-4350 订阅
排序:
Computer Network Security Analysis Modeling Based on Deep learning Algorithm
Computer Network Security Analysis Modeling Based on Deep Le...
收藏 引用
2020 International Conference on Building Technology and Computer Science, BTCS 2020
作者: Li, Yinxing Xi'An Traffic Enginering Institute Xi'an Shaanxi710300 China
With the continuous development of human civilization and the continuous progress of computer technology, computer network has been widely used in our life, which has brought great convenience to people's producti... 详细信息
来源: 评论
A review of artificial neural network learning rule based on multiple variant of conjugate gradient approaches  2
A review of artificial neural network learning rule based on...
收藏 引用
2nd Joint International Conference on Emerging Computing Technology and Sports, JICETS 2019
作者: Farizawani, A.G. Puteh, M. Marina, Y. Rivaie, A. Faculty of Computer and Mathematical Science Universiti Teknologi MARA Terengganu Malaysia Faculty of Computer and Mathematical Science Universiti Teknologi MARA Shah Alam Malaysia
The evolution of Artificial Neural Network (ANN) begins in1940s when McCulloch and Pitts published research articles in 1943 discussing about the idea of neural network in general. Basically, the concept of ANN has be... 详细信息
来源: 评论
A Lightweight Deep learning Algorithm for Identity Recognition  10th
A Lightweight Deep Learning Algorithm for Identity Recogniti...
收藏 引用
10th EAI International Conference on Mobile Networks and Management, MONAMI 2020
作者: Cao, Yanjie Zhou, Zhiyi Duan, Pengsong Wang, Chao Chen, Xianfu School of Software Zhengzhou University Zhengzhou China VTT Technical Research Centre of Finland Espoo Finland
The challenges in current WiFi based gait recognition models, such as the limited classification ability, high storage cost, long training time and restricted deployment on hardware platforms, motivate us to propose a... 详细信息
来源: 评论
Classification of yoga pose using machine learning techniques
Classification of yoga pose using machine learning technique...
收藏 引用
International Conference on Newer trends and Innovations in Mechanical Engineering, ICONTIME 2020
作者: Palanimeera, J. Ponmozhi, K. Department Of Computer Applications Kalasalingam Academy of Research and Education Krishnankoil Tamil Nadu India
Nowadays, yoga is that the part of existence during a number of the people. The human pose estimation is that the deep rooted trouble in computer vision. That has exposed in many challenges inside the beyond. They hav... 详细信息
来源: 评论
Improved Metric learning Algorithm for Person Re-Identification Based on Asymmetric Metric
Improved Metric Learning Algorithm for Person Re-Identificat...
收藏 引用
2020 IEEE International Conference on Artificial Intelligence and Computer Applications, ICAICA 2020
作者: Rao, Wenbi Xu, Menghan Zhou, Junwei School of Computer and Technology Wuhan University of Technology Hubei Key Laboratory of Transportation Internet of Things China School of Computer and Technology Wuhan University of Technology China
Person re-identification(re-ID) is becoming a hot research topic because of its value in both machine learning and video surveillance applications. In order to improve the robustness of Metric learning by Accelerated ... 详细信息
来源: 评论
Q-learning-based impact assessment of propagating extreme weather on distribution grids
Q-learning-based impact assessment of propagating extreme we...
收藏 引用
2020 IEEE Power and Energy Society General Meeting, PESGM 2020
作者: Paul, Shuva Ding, Fei Kumar, Utkarsh Liu, Weijia Ni, Zhen National Renewable Energy Laboratory Denver W Pkwy CO Golden15013 United States Florida Atlantic University Department of Comp. Elec. Eng. and Comp. Sci Boca RatonFL33431 United States
The increasing number of power outage events due to extreme weather conditions is hampering us socioeconomically. Preparing in advance for the extreme weather event is critical. It can help utility operators to reduce... 详细信息
来源: 评论
Active imitation learning with noisy guidance  58
Active imitation learning with noisy guidance
收藏 引用
58th Annual Meeting of the Association for Computational Linguistics, ACL 2020
作者: Brantley, Kianté Sharaf, Amr Daumé, Hal University of Maryland Microsoft Research
Imitation learning algorithms provide state-of-the-art results on many structured prediction tasks by learning near-optimal search policies. Such algorithms assume training-time access to an expert that can provide th... 详细信息
来源: 评论
Quantum machine learning  28
Quantum machine learning
收藏 引用
28th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine learning, ESANN 2020
作者: Martin-Guerrero, Jose D. Lamata, Lucas Departament d'Enginyeria Electronica ETSE-UV Universitat de Valencia Spain Departamento de Fisica Atomica Molecular y Nuclear Universidad de Sevilla Spain
Machine learning (ML) is becoming a more and more popular field of knowledge, being a term known not only in the academic field due to its successful applications to many real-world problems. The advent of Deep Learni... 详细信息
来源: 评论
Machine learning to Derive Complex Behaviour in Agent-Based Modellzing
Machine Learning to Derive Complex Behaviour in Agent-Based ...
收藏 引用
2020 International Conference on Computer Science and Software Engineering, CSASE 2020
作者: Augustijn, Ellen-Wien Abdulkareem, Shaheen A. Sadiq, Mohammed Hikmat Albabawat, Ali A. University of Twente Enschede Dept. of Geo-Information Processing Netherlands College of Science University of Duhok Duhok Department of Computer Science Kurdistan-region Iraq
The use of machine learning algorithms to enrich agent-based models has increased over the past years. This integration adds value when combining the advantages of the data-driven approach and the possibilities to exp... 详细信息
来源: 评论
Traffic classification using deep learning: Being highly accurate is not enough
Traffic classification using deep learning: Being highly acc...
收藏 引用
2020 Annual Conference of the ACM Special Interest Group on Data Communication on the Applications, Technologies, Architectures, and Protocols for Computer Communication, SIGCOMM 2020
作者: Lee, Kang-Hee Lee, Seung-Hun Kim, Hyun-Chul Sangmyung University Korea Republic of
As Deep learning (DL) algorithms have rapidly become a methodology of choice in various domains, they have recently entered also the field of the Internet traffic classification, successfully demonstrating impressive ... 详细信息
来源: 评论