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141-150 订阅
排序:
A Method to Generate a machine-Labeled data for Biomedical Named Entity recognition with Various Sub-Domains  1
A Method to Generate a Machine-Labeled Data for Biomedical N...
收藏 引用
1st international workshop on Digital Disease Detection using Social Media, DDDSM 2017, co-located with the 8th international Joint Conference on Natural Language Processing, IJCNLP 2017
作者: Kim, Juae Kwon, Sunjae Ko, Youngjoong Seo, Jungyun Computer Science Sogang University Sinsu-dong 1 Mapo-gu Seoul Korea Republic of Computer Engineering Dong-A University 840 Hadan 2-dong Saha-gu Busan Korea Republic of
Biomedical Named Entity (NE) recognition is a core technique for various works in the biomedical domain. In previous studies, using machine learning algorithm shows better performance than dictionary-based and rule ba... 详细信息
来源: 评论
Speeding up Heterogeneous Federated learning with Sequentially Trained Superclients  26
Speeding up Heterogeneous Federated Learning with Sequential...
收藏 引用
26th international Conference on pattern recognition / 8th international workshop on Image mining - Theory and Applications (IMTA)
作者: Zaccone, Riccardo Rizzardi, Andrea Caldarola, Debora Ciccone, Marco Caputo, Barbara Politecnico Torino Turin Italy
Federated learning (FL) allows training machine learning models in privacy-constrained scenarios by enabling the cooperation of edge devices without requiring local data sharing. This approach raises several challenge... 详细信息
来源: 评论
1st international workshop on data Analysis patterns in Software Engineering (DAPSE 2013)
1st International Workshop on Data Analysis Patterns in Soft...
收藏 引用
35th international Conference on Software Engineering (ICSE)
作者: Bird, Christian Menzies, Tim Zimmermann, Thomas Microsoft Res Redmond WA 98052 USA West Virginia Univ Virginia CA USA
data scientists in software engineering seek insight in data collected from software projects to improve software development. The demand for data scientists with domain knowledge in software development is growing ra... 详细信息
来源: 评论
XI-ML 2020 - Proceedings of the 1st international workshop on Explainable and Interpretable machine learning, co-located with the 43rd German Conference on Artificial Intelligence, KI 2020
XI-ML 2020 - Proceedings of the 1st International Workshop o...
收藏 引用
1st international workshop on Explainable and Interpretable machine learning, XI-ML 2020
The proceedings contain 7 papers. The topics discussed include: how to teach a computer to learn about microbes: KG-COVID-19 and microbial graph learning;explaining multivariate time series forecasts: an application t...
来源: 评论
CEUR workshop Proceedings
CEUR Workshop Proceedings
收藏 引用
1st workshop on machine learning and data mining for Sports Analytics, MLSA 2013
The proceedings contain 9 papers. The topics discussed include: why do sports officials dropout?;strategic patterns discovery in RTS-games for e-sport with sequential pattern mining;maps for reasoning in ultimate;pred...
来源: 评论
Proceedings of the IWK 2010 workshops: international workshop on Design, Evaluation and Refinement of Intelligent Systems, DERIS 2010 and the 1st international workshop on Evolution Support for Model-Based Development and Testing, EMDT 2010 - Part of the Umbrella Conference 55th international Scientific Colloquium, IWK 2010
Proceedings of the IWK 2010 Workshops: International Worksho...
收藏 引用
IWK 2010 workshops: international workshop on DERIS 2010 and the 1st international workshop on Evolution Support for Model-Based Development and Testing, EMDT 2010 - Part of the Umbrella Conference 55th international Scientific Colloquium, IWK 2010
The proceedings contain 12 papers. The topics discussed include: validation of mixed-structured data using pattern mining and information extraction;validation of knowledge-based systems through CommonKADS;composing t...
来源: 评论
Automatic annotation of protein functional class from sparse and imbalanced data sets
收藏 引用
1st international workshop on data mining and Bioinformatics
作者: Jung, Jaehee Thon, Michael R. Texas A&M Univ Dept Comp Sci College Stn TX 77843 USA Texas A&M Univ Dept Plant Pathol & Microbiol College Stn TX 77843 USA
In recent years, high-throughput genome sequencing and sequence analysis technologies have created the need for automated annotation and analysis of large sets of genes. The Gene Ontology (GO) provides a common contro... 详细信息
来源: 评论
On the use of Kinect depth data for identity, gender and ethnicity classification from facial images
收藏 引用
pattern recognition LETTERS 2015年 第Part2期68卷 270-277页
作者: Boutellaa, Elhocine Hadid, Abdenour Bengherabi, Messaoud Ait-Aoudia, Samy Ctr Dev Technol Avancees Algiers Algeria Ecole Natl Super Informat Algiers Algeria Univ Oulu Ctr Machine Vis Res SF-90100 Oulu Finland
This article explores the usefulness of the depth images provided by the current Microsoft Kinect sensors in different face analysis tasks including identity, gender and ethnicity. Four local feature extraction method... 详细信息
来源: 评论
Proceedings of MLSDA 2013 - The 1st workshop on machine learning for Sensory data Analysis
Proceedings of MLSDA 2013 - The 1st Workshop on Machine Lear...
收藏 引用
1st workshop on machine learning for Sensory data Analysis, MLSDA 2013
The proceedings contain 8 papers. The topics discussed include: a hybrid grid-based method for mining arbitrary regions-of-interest from trajectories;ensemble feature ranking for shellfish farm closure cause identific...
来源: 评论
Quantum computing based machine learning method and its application in radar emitter signal recognition  1
收藏 引用
1st international Conference on Modeling Decisions for Artificial Intelligence
作者: Zhang, GX Hu, LZ Jin, WD Natl EW Lab Chengdu 610036 Sichuan Peoples R China SW Jiaotong Univ Sch Elect Engn Chengdu 610031 Sichuan Peoples R China
Feature selection plays a central role in data analysis and is also a crucial step in machine learning, data mining and pattern recognition. Feature selection algorithm focuses mainly on the design of a criterion func... 详细信息
来源: 评论