检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

2,966 篇 会议
174 册 图书
25 篇 期刊文献

馆藏范围

3,164 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

2,043 篇 工学
- 1,824 篇 计算机科学与技术...
- 958 篇 软件工程
- 331 篇 电气工程
- 314 篇 信息与通信工程
- 214 篇 控制科学与工程
- 207 篇 生物工程
- 149 篇 生物医学工程（可授...
- 71 篇 光学工程
- 64 篇 机械工程
- 62 篇 化学工程与技术
- 51 篇 电子科学与技术（可...
- 48 篇 仪器科学与技术
- 46 篇 安全科学与工程
- 36 篇 交通运输工程
649 篇 理学
- 353 篇 数学
- 245 篇 生物学
- 139 篇 物理学
- 135 篇 统计学（可授理学、...
- 95 篇 系统科学
- 63 篇 化学
408 篇 管理学
- 244 篇 图书情报与档案管...
- 182 篇 管理科学与工程(可...
- 83 篇 工商管理
262 篇 医学
- 241 篇 临床医学
- 123 篇 基础医学(可授医学...
- 74 篇 药学(可授医学、理...
- 40 篇 公共卫生与预防医...
46 篇 法学
- 42 篇 社会学
38 篇 教育学
- 32 篇 教育学
33 篇 经济学
- 31 篇 应用经济学
23 篇 农学
6 篇 艺术学
4 篇 文学

主题

572 篇 machine learning
563 篇 data mining
320 篇 pattern recognit...
209 篇 deep learning
201 篇 feature extracti...
154 篇 support vector m...
145 篇 artificial intel...
128 篇 machine learning...
120 篇 training
117 篇 accuracy
90 篇 data models
89 篇 data mining and ...
71 篇 neural networks
71 篇 classification
67 篇 predictive model...
66 篇 face recognition
61 篇 learning systems
52 篇 computer imaging...
50 篇 convolutional ne...
48 篇 classification a...

机构

9 篇 school of comput...
9 篇 chinese academy ...
8 篇 zhejiang univers...
8 篇 chitkara univers...
7 篇 guangdong univer...
7 篇 school of inform...
6 篇 xi'an university...
6 篇 indian statistic...
6 篇 central south un...
6 篇 department of co...
6 篇 unsw sydney
6 篇 xi'an university...
6 篇 southern univers...
5 篇 study group aust...
5 篇 peking universit...
4 篇 centre for patte...
4 篇 chongqing univer...
4 篇 national laborat...
4 篇 sun yat sen univ...
4 篇 school of inform...

作者

11 篇 de-shuang huang
8 篇 petra perner
7 篇 krasotkina olga
7 篇 mottl vadim
7 篇 ying tan
6 篇 zheng-guang wu
6 篇 ryszard tadeusie...
6 篇 marcin korytkows...
6 篇 phung dinh
6 篇 venkatesh svetha
6 篇 hongyi li
6 篇 jacek m. zurada
6 篇 chaojie li
6 篇 biao luo
6 篇 ilias maglogiann...
6 篇 lotfi a. zadeh
6 篇 leszek rutkowski
6 篇 lazaros iliadis
6 篇 long cheng
5 篇 vitoantonio bevi...

语言

2,999 篇 英文
152 篇 其他
25 篇 中文
1 篇 土耳其文

检索条件"任意字段=5th International Conference on Machine Learning and Data Mining in Pattern Recognition"

共 3165 条记录，以下是2711-2720 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Distributed and shared memory algorithm for parallel mining of association rules 1

引用

5th international conference on machine learning and data mining in pattern recognition, MLDM 2007

作者： Palancar, J. Hernández Tormo, O. Fraxedas Cárdenas, J. Festán Leán, R. Hernández 7a # 21812 e/ 218 y 222 Rpto. Siboney Playa La Habana Cuba

ISBN: (数字)9783540734994

ISBN: (纸本)9783540734987

the search for frequent patterns in transactional databases is considered one of the most important data mining problems. Several parallel and sequential algorithms have been proposed in the literature to solve this problem. Almost all of these algorithms make repeated passes over the dataset to determine the set of frequent itemsets, thus implying high I/O overhead. In the parallel case, most algorithms perform a sum-reduction at the end of each pass to construct the global counts, also implying high synchronization cost. We present a novel algorithm that exploits efficiently the trade-offs between computation, communication, memory usage and synchronization. the algorithm was implemented over a cluster of SMP nodes combining distributed and shared memory paradigms. this paper presents the results of our algorithm on different data sizes experimented on different numbers of processors, and studies the effect of these variations on the overall performance. © Springer-Verlag Berlin Heidelberg 2007.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

Modeling the shoot apical meristem in A-thaliana:: Parameter estimation for spatial pattern formation

Modeling the shoot apical meristem in <i>A-thaliana</i>:: Pa...

引用

5th European conference on Evolutionary Computation, machine learning and data mining in Bioinformatics (EvoBIO 2007)

作者： Hohm, Tim Zitzler, Eckart ETH Comp Engn TIK Zurich Switzerland

ISBN: (纸本)9783540717829

Understanding the self-regulatory mechanisms controlling the spatial and temporal structure of multicellular organisms represents one of the major challenges in molecular biology. In the context of plants, shoot apical meristems (SAMs), which are populations of dividing, undifferentiated cells that generate organs at the tips of stems and branches throughout the life of a plant, are of particular interest and currently studied intensively. Here, one key goal is to identify the genetic regulatory network organizing the structure of a SAM and generating the corresponding spatial gene expression patterns. this paper addresses one step in the design of SAM models based on ordinary differential equations (ODEs): parameter estimation for spatial pattern formation. We assume that the topology of the genetic regulatory network is given, while the parameters of an ODE system need to be determined such that a particular stable pattern over the SAM cell population emerges. To this end, we propose an evolutionary algorithm-based approach and investigate different ways to improve the efficiency of the search process. Preliminary results are presented for the Brusselator, a well-known reaction-diffusion system.

关键词： Plants (botany)

来源：评论

学校读者我要写书评

暂无评论

Dynamic distance-based active learning with SVM 1

引用

5th international conference on machine learning and data mining in pattern recognition, MLDM 2007

作者： Jiang, Jun Ip, Horace H. S. Image Computing Group Department of Computer Science Hong Kong City University of Hong Kong Hong Kong Hong Kong

ISBN: (数字)9783540734994

ISBN: (纸本)9783540734987

In this paper, we present a novel active learning strategy, named dynamic active learning with SVM to improve the effectiveness of learning sample selection in active learning. the algorithm is divided into two steps. the first step is similar to the standard distance-based active learning with SVM [1] in which the sample nearest to the decision boundary is chosen to induce a hyperplane that can halve the current version space. In order to improve upon the learning efficiency and convergent rates, we propose in the second step, a dynamic sample selection strategy that operates within the neighborhood of the "standard" sample. theoretical analysis is given to show that our algorithm will converge faster than the standard distance-based technique and using less number of samples while maintaining the same classification precision rate. We also demonstrate the feasibility of the dynamic selection strategy approach through conducting experiments on several benchmark datasets. © Springer-Verlag Berlin Heidelberg 2007.

关键词： learning algorithms

来源：评论

学校读者我要写书评

暂无评论

pattern recognition of super-alloy friction welding joint defect by wavelet packet and wavelet neural network

Pattern recognition of super-alloy friction welding joint de...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Yin, Xin Zhang, Zhen Liu, Ai-Min Li, Qi-Lin Zhengzhou Inst Aeronaut Ind Management Dept Mech & Elect Engn Zhengzhou 450015 Peoples R China

ISBN: (纸本)9781424410651

Detecting the super-alloy friction welding specimens of GH4169 by, using the UltraPAC system, aiming at the extracting the defect eigenvalue by using wavelet packet analysis and pattern recognition by making use of the wavelet neural network is discussed this method can realize to extract the interrelated information which can reflect defect characteristic from the ultrasonic information being detected and analysis it by the information. Constructing the network model for realizing the qualitative recognition of defects which is improved though experiment finally. the results show that the wavelet packet analysis adequately make use of the information in time-domain and in frequency-domain of the defected echo signal, multi-level partition the frequency bands and analyze the high-frequency part further which don't been subdivided by multi-resolution analysis, and choose the interrelated frequency bands to make it suited with signal spectrum. thus, the time-frequency resolution is rising, the good local amplificatory property of the wavelet neural network and the study characteristic of multi-resolution analysis can achieve the higher accuracy rate of the qualitative classification of welding defect.

关键词： super-alloy friction welding defect wavelet packet wavelet neural network

来源：评论

学校读者我要写书评

暂无评论

A study of ECG characteristics by using wavelet and neural networks

A study of ECG characteristics by using wavelet and neural n...

引用

5th IEEE/ACS international conference on Computer Systems and Applications (AICCSA-07)

作者： Kim, Man Sun Yang, HyungJeong Chonnam Natl Univ Dept Comp Sci 300 Yongbong Dong Kwangju 500757 South Korea

ISBN: (纸本)9781424410309

ECG consists Of various waveforms of electric signals of heat. machine learning methods such as the MLP classification have proven to perform well in ECG classification. In this study, preprocessing was performed through wavelet transform, and in classification several characteristics were evaluated using BP algorithm that applied generalized delta rules to MLP. In order to decide wavelet generating function that can remove baseline by minimizing the distortion of raw signals, this study removed baseline by applying various wavelet generating functions. To evaluate the results above according to the learning method, learning iteration and learning rate of neural networks, various experiments were conducted

关键词： ECG data mining wavelet BP

来源：评论

学校读者我要写书评

暂无评论

Algorithms comparation of feature extraction and multi-class classification for fault diagnosis of analog circuit

Algorithms comparation of feature extraction and multi-class...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Wang, An-Na Liu, Jun-Fang Yuan, Wen-Jing Li, Hua Northeastern Univ Sch Informat Sci & Engn Shenyang 110006 Peoples R China

ISBN: (纸本)9781424410651

For the novelties or anomalies of faulty signals occur in a damage circuit and fault signals vary with different circuit damages. To ensure the accuracy, and reliability of diagnosis, it is very important to extract the characteristic features of fault signals. Two feature extraction methods based on wavelet packet transform is proposed to treat transient signals: optimal wavelet packet transform (OWPT) and incomplete wavelet packet transform (IWPT). For the fault signals decomposed, the energy in each frequency band may be heightened or be reduced, so a novel 'energy-fault' method is put forward to extract fault features. the problem of fault diagnosis of analog circuit is actually a pattern recognition problem. Nowadays, the binary free support v;ector machines (BTSVMs) is usually used for multi-class classification, but the structure of the binary tree is closely related to the classification performance of binary tree support vector machines (BTSVMs). A new separability measure method based on the space distribution of pattern classes is applied to construct different binary trees. three BTSVMs classifiers based on the separability measure are defined in this paper: inclined binary tree Support vector machines (IBTSVMs), balanced binary tree support vector machines (BBTSVMs) and adaptive binary tree support vector machines (ABTSVMs). Simulation results show us that the OWPT method is prefect for soft fault diagnosis, the IWPT for hard fault diagnosis, and the BBTSVMs multi-classifier possesses better classification speed, the ABTSVMs multi-classifer better classification accuracy.

关键词： fault diagnosis feature extraction pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Study of clustering algorithm based on model data

Study of clustering algorithm based on model data

引用

6th international conference on machine learning and Cybernetics

作者： Li, Kai Cui, Li-Juan HeBei Univ Sch Math & Comp Baoding 071002 Peoples R China HeBei Univ Lib Baoding 071002 Peoples R China

ISBN: (纸本)9781424409723

Clustering technique is a key tool in data mining and pattern recognition. Usually, objects for some traditional clustering algorithms are expressed in the form of vectors, which consist of some components to be described as features. However, objects in real tasks may be some models which are clustered other than data points, for example! neural networks, decision trees, support vector machines, etc. this paper studies the clustering algorithm based on model data. By defining the extended measure, clustering methods are studied for the abstract data objects. Framework of clustering algorithm for models is presented. To validate the effectiveness of models clustering algorithm, we choose the hierarchical model clustering algorithm in the experiments. Models in clustering algorithm are BP(Back Propagation) neural networks and learning method is BP algorithm. Measures are chosen as both same-fault measure and double-fault measure for pairwise of models. Distances between clusters are the single link and the complete link, respectively. By this way, we may obtain part of neural network models which are from each cluster and improve diversity of neural network models. then, part of models is ensembled. Moreover, we also study the relations between the number of clusters in clustering analysis, the size of ensemble learning, and performance of ensemble learning by experiments. Experimental results show that performance of ensemble learning by choosing part of models using clustering of models is improved.

关键词： model clustering measure space validation of clustering diversity

来源：评论

学校读者我要写书评

暂无评论

Variable width elliptic Gaussian kernels for probability density estimation

Variable width elliptic Gaussian kernels for probability den...

引用

8th international conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services

作者： Pokrajac, Dragoljub Latecki, Longin Jan Lazarevic, Aleksandar Nikolic, Jelena Delaware State Univ Dept Comp & Informat Sci Appl Math Res Ctr 1200 N DuPont Hwy Dover DE USA Temple Univ CIS Dept Philadelphia PA 19122 USA CREOSA & United Technol Res Ctr E Hartford CT 06108 USA Univ Nis Fac Elect Engn Nish Serbia Delaware State Univ Dept Comp & Informat Sci Ctr Res & Educ Opt Sci & Appl Dover DE USA

ISBN: (纸本)9788685195549

Estimation of probability density functions based on available data is important problem arising in various fields, such as telecommunications, machine learning, data mining, pattern recognition and computer vision. In this paper, we consider Kernel-based non-parametric density estimation methods and derive formulae for variable kernel density estimation using generalized, elliptic Gaussian kernels. the proposed technique is verified on simulated data.

关键词： pattern recognition non-parametric density estimation variable kernel density estimation generalized Gaussian kernels

来源：评论

学校读者我要写书评

暂无评论

A CI feature-based pulmonary nodule segmentation using three-domain mean shift clustering

A CI feature-based pulmonary nodule segmentation using three...

引用

5th international conference on Wavelet Analysis and pattern recognition

作者： Nie, Sheng-Dong Li, Li-Hong Chen, Zhao-Xue Shanghai Univ Sci & Technol Sch Med Instrumentat & Foodstuff Inst Med Imaging Engn Shanghai 200093 Peoples R China Shanghai Jiao Tong Univ Inst Image Proc & Pattern Recognit Shanghai 200030 Peoples R China

ISBN: (纸本)9781424410651

A novel and more effective algorithm used for segmenting pulmonary nodules in thoracic spiral CT images was presented the algorithm is based on mean shift clustering method and Cl (Convergence Index) features, which can represent the multiple Gaussian model of pulmonary nodules both for solid and sub-solid, substantially the algorithm has the following steps: (1) calculating the Cl features of all pixels in the region of interest (ROI), (2) combining the CI features with the intensity range and the spatial position of the pixels to form a feature vector set, (3) grouping the feature vector set to clusters with mean shift clustering algorithm. Owing to our algorithm can represent the multiple Gaussian model both for solid and sub-solid nodules, it can be used in any user interested nodule regions, especially suitable for the segmentation of sub-solid nodules. Experiments demonstrated that our algorithm can figure out the Outline of pulmonary nodules of different forms more precisely.

关键词： CT images nodule segmentation solid nodule sub-solid nodule CI feature mean shift algorithm

来源：评论

学校读者我要写书评

暂无评论

Spoken language understanding software for language learning

Spoken language understanding software for language learning

引用

4th international conference on Cybernetics and Information Technologies, Systems and Applications/5th Int Conf on Computing, Communications and Control Technologies

作者： Alam, Hassan Kumar, Aman Rahman, Fuad Hartono, Rachmat Tarnikova, Yuliya BCL Technol 990 Linden Dr Santa Clara CA USA

ISBN: (纸本)9781934272084

In this paper we describe a preliminary, work-in-progress Spoken Language Understanding Software (SLUS) with tailored feedback options, which uses interactive spoken language interface to teach Iraqi Arabic and culture to second language learners. the SLUS analyzes input speech by the second language learner and grades for correct pronunciation in terms of supra-segmental and rudimentary segmental errors such as missing consonants. We evaluated this software on training data with the help of two native speakers, and found that the software recorded an accuracy of around 70% in law and order domain. For future work, we plan to develop similar systems for multiple languages.

关键词： speech processing speech recognition intonation language learning support vector machine

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共317页 << < 268 269 270 271 272 273 274 275 276 277 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：