咨询与建议

限定检索结果

文献类型

  • 124 篇 会议
  • 11 册 图书

馆藏范围

  • 135 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 109 篇 工学
    • 102 篇 计算机科学与技术...
    • 60 篇 软件工程
    • 22 篇 信息与通信工程
    • 8 篇 控制科学与工程
    • 4 篇 机械工程
    • 3 篇 材料科学与工程(可...
    • 3 篇 电气工程
    • 3 篇 化学工程与技术
    • 3 篇 交通运输工程
    • 3 篇 生物工程
    • 2 篇 光学工程
    • 2 篇 仪器科学与技术
    • 2 篇 动力工程及工程热...
    • 2 篇 生物医学工程(可授...
    • 2 篇 安全科学与工程
    • 1 篇 船舶与海洋工程
  • 42 篇 理学
    • 35 篇 数学
    • 12 篇 统计学(可授理学、...
    • 6 篇 物理学
    • 4 篇 系统科学
    • 3 篇 化学
    • 3 篇 生物学
    • 1 篇 大气科学
  • 26 篇 管理学
    • 23 篇 图书情报与档案管...
    • 4 篇 管理科学与工程(可...
    • 2 篇 工商管理
  • 2 篇 教育学
    • 2 篇 教育学
  • 2 篇 医学
    • 2 篇 临床医学
    • 1 篇 基础医学(可授医学...
  • 1 篇 经济学
    • 1 篇 应用经济学

主题

  • 28 篇 data mining
  • 21 篇 pattern recognit...
  • 10 篇 learning systems
  • 8 篇 support vector m...
  • 8 篇 machine learning
  • 7 篇 artificial intel...
  • 5 篇 data mining and ...
  • 5 篇 image processing...
  • 3 篇 deep learning
  • 3 篇 feature extracti...
  • 3 篇 classification a...
  • 2 篇 clustering
  • 2 篇 support vector m...
  • 2 篇 neural networks
  • 2 篇 face recognition
  • 2 篇 learning algorit...
  • 2 篇 database managem...
  • 2 篇 data reduction
  • 2 篇 computing milieu...
  • 2 篇 databases

机构

  • 2 篇 technical univer...
  • 2 篇 shanghai jiao to...
  • 2 篇 chongqing univer...
  • 2 篇 chaohu universit...
  • 2 篇 hefei university...
  • 2 篇 south china norm...
  • 2 篇 giad unit resear...
  • 2 篇 pattern analysis...
  • 2 篇 harbin institute...
  • 2 篇 logiq unit resea...
  • 1 篇 columbia univers...
  • 1 篇 shandong univ sc...
  • 1 篇 inria
  • 1 篇 acad sinica key ...
  • 1 篇 agr univ coll pl...
  • 1 篇 jiangsu teachers...
  • 1 篇 univ liege inst ...
  • 1 篇 northeastern uni...
  • 1 篇 tulane universit...
  • 1 篇 computer science...

作者

  • 2 篇 haijun zhang
  • 2 篇 tianyong hao
  • 2 篇 sergei o. kuznet...
  • 2 篇 pudi vikram
  • 2 篇 duoqian miao
  • 2 篇 hepu deng
  • 2 篇 krasotkina olga
  • 2 篇 deba p. mandal
  • 2 篇 li s
  • 2 篇 petra perner
  • 2 篇 fu lee wang
  • 2 篇 mottl vadim
  • 2 篇 zhou wu
  • 2 篇 yuanyuan mu
  • 2 篇 kamel mohamed s.
  • 2 篇 weizhi meng
  • 2 篇 zhao zhang
  • 2 篇 jingsheng lei
  • 2 篇 malay k. kundu
  • 2 篇 zhang cs

语言

  • 129 篇 英文
  • 4 篇 其他
  • 2 篇 中文
检索条件"任意字段=4th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2005"
135 条 记 录,以下是41-50 订阅
Bayesian approach to the concept drift in the pattern recognition problems  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Turkov, Pavel Krasotkina, Olga Mottl, Vadim Tula State University 92 Lenina Ave. Tula 300600 Russia Computing Center Russian Academy of Science 40 Vavilov St. Moscow 119333 Russia
We can face with the pattern recognition problems where the influence of hidden context leads to more or less radical changes in the target concept. this paper proposes the mathematical and algorithmic framework for t... 详细信息
来源: 评论
Computer recognition of facial expressions of emotion  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: PiĄtkowska, Ewa Martyna, Jerzy Institute of Applied Computer Science Jagiellonian University Reymonta 4 30-059 Cracow Poland Institute of Computer Science Faculty of Mathematics and Computer Science Jagiellonian University Prof. S. Lojasiewicza 6 30-348 Cracow Poland
In this paper, we study the computer recognition of emotions involved in facial expressions. We propose a recognition system based on a support vector machine (SVM) system as a classifier for detecting of spontaneous ... 详细信息
来源: 评论
Constructing target concept in multiple instance learning using maximum partial entropy  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Xu, Tao Chiu, David Gondra, Iker School of Computer Science University of Guelph ON Canada Mathematics Statistics Computer Science St. Francis Xavier University NS Canada
Multiple instance learning, when instances are grouped into bags, concerns learning of a target concept from the bags without reference to their instances. In this paper, we advance the problem with a novel method bas... 详细信息
来源: 评论
A new learning strategy of general BAMs  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Hoa, Nong thi Duy, Bui the Human Machine Interaction Laboratory Vietnam National University Hanoi Viet Nam
Bi-directional Associative Memory (BAM) is an artificial neural network that consists of two Hopfield networks. the most important advantage of BAM is the ability to recall a stored pattern from a noisy input, which d... 详细信息
来源: 评论
A pattern recognition system for malicious PDF files detection  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Maiorca, Davide Giacinto, Giorgio Corona, Igino University of Cagliari Piazza d'Armi 09123 Cagliari Italy
Malicious PDF files have been used to harm computer security during the past two-three years, and modern antivirus are proving to be not completely effective against this kind of threat. In this paper an innovative te... 详细信息
来源: 评论
BINER: BINary search based efficient regression
BINER: BINary search based efficient regression
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Bharambe, Saket Dubey, Harshit Pudi, Vikram International Institute of Information Technology - Hyderabad Hyderabad India
Regression is the study of functional dependency of one numeric variable with respect to another. In this paper, we present a novel, efficient, binary search based regression algorithm having the advantage of low comp... 详细信息
来源: 评论
Discriminant subspace learning based on support vectors machines  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Pitelis, Nikolaos Tefas, Anastasios School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom Department of Informatics Aristotle University of Thessaloniki Greece
A new method for dimensionality reduction and feature extraction based on Support Vector machines and minimization of the within-class data dispersion is proposed. An iterative procedure is proposed that successively ... 详细信息
来源: 评论
Proximity-graph instance-based learning, support vector machines, and high dimensionality: An empirical comparison  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Toussaint, Godfried T. Berzan, Constantin Faculty of Science New York University Abu Dhabi Abu Dhabi United Arab Emirates Department of Computer Science Tufts University Medford MA 02155 United States
Previous experiments with low dimensional data sets have shown that Gabriel graph methods for instance-based learning are among the best machine learning algorithms for pattern classification applications. However, as... 详细信息
来源: 评论
mining ranking models from dynamic network data  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Macchia, Lucrezia Ceci, Michelangelo Malerba, Donato Dipartimento di Informatica Università degli Studi di Bari via Orabona 4 70126 Bari Italy
In recent years, improvement in ubiquitous technologies and sensor networks have motivated the application of data mining techniques to network organized data. Network data describe entities represented by nodes, whic... 详细信息
来源: 评论
Content independent metadata production as a machine learning problem  1
收藏 引用
8th international conference on machine learning and data mining in pattern recognition, mldm 2012
作者: Changuel, Sahar Labroche, Nicolas Université Pierre et Marie Curie - Paris 6 CNRS UMR7606 France
Metadata provide a high-level description of digital library resources and represent the key to enable the discovery and selection of suitable resources. However the growth in size and diversity of digital collections... 详细信息
来源: 评论