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
  • 2 册 图书

馆藏范围

  • 580 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

  • 72 篇 machine learning
  • 55 篇 data mining
  • 34 篇 pattern recognit...
  • 33 篇 deep learning
  • 20 篇 feature extracti...
  • 16 篇 support vector m...
  • 15 篇 learning systems
  • 15 篇 artificial intel...
  • 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

  • 563 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"
580 条 记 录,以下是461-470 订阅
排序:
It's about time: Signal recognition in staged models of protein translocation
收藏 引用
pattern recognition 2009年 第4期42卷 567-574页
作者: Buske, Fabian A. Maetschke, stefan Boden, Mikael Univ Queensland Inst Mol Biosci Brisbane Qld 4072 Australia
During their synthesis, a large fraction of proteins are directed to the secretory pathway. There are several models that aim to distinguish between different destinations along this pathway;however, they rarely disti... 详细信息
来源: 评论
learning Dynamic Bayesian Network structure from Non-time Symmetric data
Learning Dynamic Bayesian Network Structure from Non-time Sy...
收藏 引用
Chinese Conference on pattern recognition/1st CJK Joint workshop on pattern recognition
作者: Wang Shuang-cheng Shao Jun Cheng Xin-zhang Shanghai Lixin Univ Commerce Sch Math & Informat Shanghai 201620 Peoples R China Shanghai Lixin Univ Commerce Sch Accounting & Finance Shanghai 201620 Peoples R China Shanghai Lixin Univ Commerce Open Econ & Tracle Res Ctr Shanghai 201620 Peoples R China
At present, there are not the methods of learning dynamic Bayesian network structure from no time symmetry data. In this paper, a method of learning dynamic Bayesian network structure from non-time symmetric data is d... 详细信息
来源: 评论
Feature Selection for Classifying data stream Based on Maximum Entropy
Feature Selection for Classifying Data Stream Based on Maxim...
收藏 引用
Chinese Conference on pattern recognition/1st CJK Joint workshop on pattern recognition
作者: Liu, Yao-zong Wang, Yong-li Wei, Wei Zhang, Hong Nanjing Univ Sci & Technol Sch Comp Nanjing 210094 Peoples R China
Feature select ion is an important problem in the fields of machine learning and pat tern recognition. data stream data classification with high dimensional and sparse, and the dimension of the need for compression, f... 详细信息
来源: 评论
Using Boosting and Clustering to Prune Bagging and Detect Noisy data
Using Boosting and Clustering to Prune Bagging and Detect No...
收藏 引用
Chinese Conference on pattern recognition/1st CJK Joint workshop on pattern recognition
作者: Xie, Yuan-Cheng Yang, Jing-Yu Nanjing Univ Sci & Technol Sch Comp Sci & Technol Nanjing 210094 Peoples R China
AdaBoost has been the representation of ensemble learning algorithm because of its excellent performance. However, due to its longtime training, AdaBoost was complained about by people and this defect limits the pract... 详细信息
来源: 评论
Acquiring background knowledge for intelligent tutoring systems
Acquiring background knowledge for intelligent tutoring syst...
收藏 引用
1st international Conference on Educational data mining, EDM 2008
作者: Antunes, Cláudia Dep of Computer Science and Engineering Instituto Superior Técnico Av. Rovisco Pais 1 1049-001 Lisboa Portugal
One of the unresolved problems faced in the construction of intelligent tutoring systems is the acquisition of background knowledge, either for the specification of the teaching strategy, or for the construction of th... 详细信息
来源: 评论
Extracting loosely structured data records through mining strict patterns
Extracting loosely structured data records through mining st...
收藏 引用
24th IEEE international Conference on data Engineering/ 1st international workshop on Secure Semantic Web
作者: Wu, Yipu Chen, Jing Li, Qing City Univ Hong Kong Dept Comp Sci 83 Tat Chee Avenne Kowloon Hong Kong Peoples R China
Extracting loosely structured data records (DRs) has wide applications in many domains, such as forum pattern recognition, blog data analysis, and books and news review analysis. Currently existing methods work well f... 详细信息
来源: 评论
Proceedings - 1st international workshop on Knowledge Discovery and data mining, WKDD
Proceedings - 1st International Workshop on Knowledge Discov...
收藏 引用
1st international workshop on Knowledge Discovery and data mining, WKDD
The proceedings contain 145 papers. The topics discussed include: advancing knowledge discovery and data mining;knowledge management in the ubiquitous software development;a novel network intrusion detection system (N... 详细信息
来源: 评论
Proceeding of the 1st international workshop on Image mining Theory and Application, IMTA 2008 - In Conjuction with VIISIGRAPP 2008
Proceeding of the 1st International Workshop on Image Mining...
收藏 引用
1st international workshop on Image mining Theory and Applications, IMTA 2008 - In Conjunction with VIISIGRAPP 2008
The proceedings contain 14 papers. The topics discussed include: descriptive analysis of image data: basic models;media analysis and the algorithm ontology;descriptive approach to medical image analysis- substantiatio...
来源: 评论
The evaluation of wavelet and data driven feature selection for image understanding
The evaluation of wavelet and data driven feature selection ...
收藏 引用
1st international Conference on Biomedical Engineering and Informatics
作者: Liu Jinshuo Zhang Dengyi Liu Siwen Fang Ying Zhang Ming Wuhan Univ Comp Sch Hubei Peoples R China Urban Construct Sch Jilin Dept Mech Engn Jilin Peoples R China Wuhan Huanpi Kaidi Water Serv Co Ltd Wuhan Peoples R China
Image mining with pattern recognition methods has been widely used to understand the image knowledge. The general rule for the number of features is that the number can not be too much to improve the efficiency and sp... 详细信息
来源: 评论
pattern classification by a Gibbsian Kohonen neural network with an application to Arabic character recognition
Pattern classification by a Gibbsian Kohonen neural network ...
收藏 引用
1st international workshop on Image Processing Theory
作者: Mezghani, N. Mitiche, A. Hop Notre Dame Bon Secours Ctr Rech CHUM Lab Rech Imagerie & Orthoped LIO Montreal PQ H2L 4K8 Canada INRS EMT Institut Montreal PQ Canada
Recent studies have shown that the Gibbs density function can model complex patterns and that a constrained maximum entropy formulation affords a powerful means of estimating its parameters from pattern class data. Th... 详细信息
来源: 评论