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81-90 订阅
排序:
Local Marginal Projection and Its Applications
Local Marginal Projection and Its Applications
收藏 引用
Chinese Conference on pattern recognition/1st CJK Joint workshop on pattern recognition
作者: Mao, Hong-ben Li, Yong-zhi Wu, Song-song Liu, Fen-xiang Nanjing Forestry Univ Coll Informat Sci & Technol Nanjing 210037 Peoples R China
Based on UDP and MFA, we propose a new un-supervised feature extraction algorithm, LMP (Local Marginal Projection), which is built on local quality. It measures the non-local quantities by the nearest sample between t... 详细信息
来源: 评论
A discretization algorithm based on a heterogeneity criterion
收藏 引用
IEEE TRANSACTIONS ON KNOWLEDGE AND data ENGINEERING 2005年 第9期17卷 1166-1173页
作者: Liu, XY Wang, HQ City Univ Hong Kong Dept Informat Syst Kowloon Hong Kong Peoples R China
Discretization, as a preprocessing step for data mining, is a process of converting the continuous attributes of a data set into discrete ones so that they can be treated as the nominal features by machine learning al... 详细信息
来源: 评论
Analysis of interpretability-accuracy tradeoff of fuzzy systems by multiobjective fuzzy genetics-based machine learning
收藏 引用
international JOURNAL OF APPROXIMATE REASONING 2007年 第1期44卷 4-31页
作者: Ishibuchi, Hisao Nojima, Yusuke Osaka Prefecture Univ Grad Sch Engn Dept Comp Sci & Intelligent Syst Osaka 5998531 Japan
This paper examines the interpretability-accuracy tradeoff in fuzzy rule-based classifiers using a multiobjective fuzzy genetics-based machine learning (GBML) algorithm. Our GBML algorithm is a hybrid version of Michi... 详细信息
来源: 评论
Arabic Manuscript Author Verification Using Deep Convolutional Networks  1
Arabic Manuscript Author Verification Using Deep Convolution...
收藏 引用
1st IEEE international workshop on Arabic Script Analysis and recognition (ASAR)
作者: Boiarov, Andrei Senov, Alexander Knysh, Alexander St Petersburg State Univ Fac Math & Mech St Petersburg Russia Univ Michigan Dept Near Eastern Studies Ann Arbor MI 48109 USA St Petersburg State Univ Res Lab Anal & Modeling Social Proc St Petersburg Russia
In this paper, we propose an automatic method for manuscript author verification based on an analysis of consecutive patches extracted from an image. The classification algorithm uses a deep convolutional network with... 详细信息
来源: 评论
Integrating Al and data mining - 1st international workshop Proceedings, AIDM 2006
Integrating Al and Data Mining - 1st International Workshop ...
收藏 引用
1st international workshop on Integrating AI and data mining, AIDM 2006
The proceedings contain 10 papers. The topics discussed include: pattern of behavior mediated by cognitive scripts and emotional attitudes - context aware engineering of data mining systems;visualization of non-vector... 详细信息
来源: 评论
data Analysis of Electrical Systems Using machine learning Algorithms  1
Data Analysis of Electrical Systems Using Machine Learning A...
收藏 引用
1st international Conference on Artificial Intelligence Trends and pattern recognition, ICAITPR 2022
作者: Madhavi, Pillalamarri Satyanarayana, Salava V Hyderabad Institute of Technology and Management Electrical and Electronics Engineering Hyderabad India
Electrical Systems are designed in the amalgamation of various types of electrical equipment at the generation, transmission, and distribution verge to furnish uninterrupted power to the consumers. To communicate this... 详细信息
来源: 评论
Reinforcement learning for active model selection
Reinforcement learning for active model selection
收藏 引用
1st international workshop on Utility-Based data mining, UBDM '05
作者: Kapoor, Aloak Greiner, Russell Department of Computing Science University of Alberta Edmonton AB T6J 2E8 Canada
In many practical machine learning tasks, there are costs associated with acquiring the feature values of training instances, as well as a hard learning budget which limits the number of feature values that can be pur... 详细信息
来源: 评论
Extracting human attributes using a convolutional neural network approach
收藏 引用
pattern recognition LETTERS 2015年 68卷 250-259页
作者: Perlin, Hugo Alberto Lopes, Heitor Silverio Parana Fed Inst Parana Paranagua PR Brazil Univ Tecnol Fed Parana Curitiba Parana Brazil
Extracting high level information from digital images and videos is a hard problem frequently faced by the computer vision and machine learning communities. Modern surveillance systems can monitor people, cars or obje... 详细信息
来源: 评论
Building statistical Language Models of Code
Building Statistical Language Models of Code
收藏 引用
1st international workshop on data Analysis patterns in Software Engineering (DAPSE)
作者: Schulam, Peter Rosenfeld, Roni Devanbu, Premkumar Carnegie Mellon Univ Language Technol Inst Pittsburgh PA 15213 USA Univ Calif Davis Dept Comp Sci Davis CA USA
We present the Source Code statistical Language Model data analysis pattern. statistical language models have been an enabling tool for a wide array of important language technologies. Speech recognition, machine tran... 详细信息
来源: 评论
A Multi-Class Multi-Manifold learning Algorithm based on ISOMAP
A Multi-Class Multi-Manifold Learning Algorithm based on ISO...
收藏 引用
Chinese Conference on pattern recognition/1st CJK Joint workshop on pattern recognition
作者: Cheng, Qicai Wang, Hongyuan Feng, Yan Liu, Suolan Xue, Lei Jiangsu Polytech Univ Sch Informat Changzhou 213164 Peoples R China
The classical algorithm ISOMAP can find the intrinsic low-dimensional structures hidden in high-dimensional data uniformly distributed on or around a single manifold, but if the data are sampled from multi-class, each... 详细信息
来源: 评论