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

910 篇 会议
539 篇 期刊文献
60 册 图书

馆藏范围

1,509 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

954 篇 工学
- 773 篇 计算机科学与技术...
- 645 篇 软件工程
- 190 篇 信息与通信工程
- 131 篇 控制科学与工程
- 107 篇 生物工程
- 95 篇 电气工程
- 81 篇 生物医学工程（可授...
- 68 篇 电子科学与技术（可...
- 62 篇 化学工程与技术
- 61 篇 光学工程
- 48 篇 机械工程
- 44 篇 动力工程及工程热...
- 43 篇 建筑学
- 37 篇 土木工程
- 31 篇 材料科学与工程（可...
- 29 篇 仪器科学与技术
493 篇 理学
- 288 篇 数学
- 119 篇 生物学
- 89 篇 物理学
- 83 篇 统计学（可授理学、...
- 57 篇 化学
- 55 篇 系统科学
337 篇 管理学
- 192 篇 图书情报与档案管...
- 156 篇 管理科学与工程(可...
- 68 篇 工商管理
99 篇 医学
- 80 篇 临床医学
- 64 篇 基础医学(可授医学...
- 43 篇 药学(可授医学、理...
- 33 篇 公共卫生与预防医...
35 篇 法学
- 30 篇 社会学
20 篇 教育学
20 篇 农学
17 篇 经济学
7 篇 文学
3 篇 哲学
2 篇 历史学
1 篇 军事学

主题

67 篇 artificial intel...
60 篇 computer science
59 篇 knowledge engine...
42 篇 data mining
41 篇 semantics
32 篇 deep learning
31 篇 machine learning
29 篇 computational mo...
29 篇 accuracy
27 篇 ontologies
27 篇 training
25 篇 information stor...
21 篇 information syst...
21 篇 knowledge manage...
21 篇 feature extracti...
21 篇 technological in...
20 篇 support vector m...
20 篇 educational inst...
19 篇 computational in...
19 篇 database managem...

机构

84 篇 college of compu...
73 篇 lovely professio...
40 篇 key laboratory o...
30 篇 institute of aer...
26 篇 beijing key labo...
25 篇 lloyd institute ...
22 篇 institute of aer...
20 篇 school of comput...
17 篇 department of co...
16 篇 school of comput...
16 篇 global knowledge...
15 篇 lloyd institute ...
15 篇 department of da...
13 篇 school of inform...
13 篇 school of artifi...
13 篇 department of co...
12 篇 key laboratory o...
12 篇 lloyd law colleg...
12 篇 department of ma...
11 篇 knowledge park i...

作者

21 篇 sun geng
19 篇 niyato dusit
17 篇 olfa nasraoui
17 篇 nürnberger andre...
16 篇 nasraoui olfa
15 篇 amit joshi
15 篇 praveen
15 篇 li jiahui
13 篇 liang yanchun
13 篇 wang jiacheng
12 篇 chang yi
12 篇 wu xindong
12 篇 chatterjee soumi...
11 篇 he jun
11 篇 nijhawan ginni
11 篇 du xiaoyong
11 篇 asha v.
11 篇 ginni nijhawan
11 篇 nilanjan dey
11 篇 fürnkranz johann...

语言

1,443 篇 英文
50 篇 其他
15 篇 中文
1 篇 日文

检索条件"机构=Department of Knowledge Engineering and Computer Science"

共 1509 条记录，以下是1251-1260 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：

SocialWeb Communities Executive Summary of the Dagstuhl Seminar

SocialWeb Communities Executive Summary of the Dagstuhl Semi...

引用

Social Web Communities 2008

作者： Alani, Harith Staab, Steffen Stumme, Gerd Address Harith Research Group ISWeb - Information Systems and Semantic Web University of Koblenz-Landau Univ.str. 1 Koblenz56016 Germany Knowledge & Data Engineering Group Department of Mathematics and Computer Science University of Kassel Wilhelmshöher Allee 73 Kassel34121 Germany

Blogs, Wikis, and Social Bookmark Tools have rapidly emerged on the Web. The reasons for their immediate success are that people are happy to share information, and that these tools provide an infrastructure for doing so without requiring any specific skills. At the moment, there exists no foundational research for these systems, and they provide only very simple structures for organising knowledge. Individual users create their own structures, but these can currently not be exploited for knowledge sharing. The objective of the seminar was to provide theoretical foundations for upcoming Web 2.0 applications and to investigate further applications that go beyond bookmark- and file-sharing. The main research question can be summarized as follows: How will current and emerging resource sharing systems support users to leverage more knowledge and power from the information they share on Web 2.0 applications? Research areas like Semantic Web, Machine Learning, Information Retrieval, Information Extraction, Social Network Analysis, Natural Language Processing, Library and Information sciences, and Hypermedia Systems have been working for a while on these questions. In the workshop, researchers from these areas came together to assess the state of the art and to set up a road map describing the next steps towards the next generation of social software. © 2008 Dagstuhl Seminar Proceedings. All rights reserved.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

A room modeling method for 3D video

A room modeling method for 3D video

引用

2008 International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2008

作者： Isshiki, Aya Sakamoto, Ryuuki Kitahara, Itaru Kogure, Kiyoshi Joe, Kazuki Information and Computer Sciences Department Nara Women's University Nara 630-8506 Japan Department of Computer and Communication Sciences Wakayama University Sakaedani 930 Wakayama Wakayama 640-8510 Japan Department of Intelligent Interaction Technologies Graduate School of Systems and Information Engineering University of Tsukuba Tennoudai 1-1-1 Tsukuba Ibaraki 305-8573 Japan ATR Knowledge Science Laboratories Hikaridai 2-2-2 Keihanna Science City Kyoto 619-0288 Japan

ISBN: (纸本)1601320841

This paper proposes a system to reconstruct the 3D shape model of background regions for generating 3D video easily. As the progress of computer vision technologies continues, many 3D video systems have been developed that tend to focus on automatic 3D reconstruction to capture target (foreground) objects. On the other hand, the 3D shapes of background regions such as walls and floors are generally made manually, for example, using 3D modeling software such as CAD. However, the operation is not easy for novices. Our system provides an easy background modeling method for such users. User operations include segmenting multiple background images into several boxes by indi cating their vertices and giving the correspondence of the boxes between multiple images. As a result, the 3D coordinates of the vertices are calculated using a stereo vision algorithm.

关键词： Stereo vision

来源：评论

学校读者我要写书评

暂无评论

An independence of causal interactions model for opposing inuences

An independence of causal interactions model for opposing in...

引用

4th European Workshop on Probabilistic Graphical Models, PGM 2008

作者： Maaskant, Paul P. Druzdzel, Marek J. Department of Media and Knowledge Engineering Delft University of Technology 2628 CD Delft Netherlands Faculty of Computer Science Bia Lystok Technical University Wiejska 45A 15-351 Bia lystok Poland Decision Systems Laboratory School of Information Sciences University of Pittsburgh Pittsburgh PA 15260 United States

We introduce the DeMorgan gate, an Independence of Causal Interactions (ICI) model that is capable of modeling opposing inuences, i.e., a mixture of positive and negative inuences of parents on a child. The model is a noisy version of a conjunctive normal form of Boolean functions and is an extension and a combination of the popular Noisy OR and Noisy-AND models, preserving their intuitive semantics. We report the results of a simple experiment testing the usefulness of the proposed model for elicitation of conditional probability distributions.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval

Automatic Recommendations for E-Learning Personalization Bas...

引用

International Conference on Advanced Learning Technologies (ICALT)

作者： Mohamed Koutheaïr Khribi Mohamed Jemni Olfa Nasraoui Technologies of Information and Communication Lab University of Tunis Tunis Bab Mnara TUNISIA Knowledge Discovery & Web Mining Lab Department of Computer Engineering & Computer Science Speed School of Engineering University of Louisville Louisville KY USA

The World Wide Web (WWW) is becoming one of the most preferred and widespread mediums of learning. Unfortunately, most of the current Web-based learning systems are still delivering the same educational resources in the same way to learners with different profiles. A number of past efforts have dealt with e-learning personalization, generally, relying on explicit information. In this paper, we aim to compute on-line automatic recommendations to an active learner based on his/her recent navigation history, as well as exploiting similarities and dissimilarities among user preferences and among the contents of the learning resources. First we start by mining learner profiles using Web usage mining techniques and content-based profiles using information retrieval techniques. Then, we use these profiles to compute relevant links to recommend for an active learner by applying a number of different recommendation strategies.

关键词： Electronic learning Information retrieval Navigation Information filtering Information filters Uniform resource locators Data mining knowledge engineering History Collaboration

来源：评论

学校读者我要写书评

暂无评论

Detecting DNA-binding Domain From Sequence and Secondary Structure Information Using Kernel-based Technique

Detecting DNA-binding Domain From Sequence and Secondary Str...

引用

2008 3rd International Conference on Intelligent System and knowledge engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

作者： Wang Fei Chen Lusheng Shanghai key laboratory of Intelligent Information Processing Fudan UniversityPRC Department of Computer Science and EngineeringFudan UniversityPRC Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of EducationJilin Universi

DNA-binding proteins play an important role invarious intra-and extra-cellular *** key in theprotein is DNA-binding region also called DNA-bindingdomain(DBD).However,it is hard to search the DBDsby means of homology search or hidden Markov modelsbecause of a wide variety of the *** this work,we develop a kernel-based machine learning method bycombination of multiple "l-vs-l" binary classifiers forDNA binding domain *** result shows that93.73％ accuracy is achieved for multicategory classifierand no less than 90％ accuracy for each binary *** comparison,our classifier performs better than othermachine learning methods.

关键词： Support vector machines Sequences Hidden Markov models Learning systems DNA knowledge engineering Partial response channels Protein engineering Support vector machine classification Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Translating Query for Deep Web Using Ontology

Translating Query for Deep Web Using Ontology

引用

International Conference on computer science and Software engineering

作者： Hao Liang Wanli Zuo Fei Ren Junhua Wang College of Computer Science and Technology Department of Technology Jilin University Changchun Taxation China College of Computer Science and Technology Key Laboratory of Symbol Computation andKnowledge Engineering of the Ministry of Education Jilin University China College of Computer Science and Technology Jilin University Changchun China College of Computer Science and Technology Jilin University Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Changchun China

ISBN: (纸本)9781424439027

The e-commerce information on the surface Web is supported by the Deep Web, which can not be accessed directly by the search engines or the Web crawlers. The only way to access the backend database is through query interface. Extracting valid attributes from the query forms and automatic translating the source query into a target query is a solvable way for addressing the current limitations in accessing Deep Web data sources. To generate a valid query, we have to reconcile the key attributes and their semantic relation. We present our framework to solve the problem. To enrich the set of attributes contained in the semantic form, we use the WordNet as kinds of ontology technique and we try to find the semantic relation of the attributes in the same query from and different forms. Extensive experiments over real-word domains show the utility of our query translation framework.

关键词： Ontologies Databases computer science Educational institutions Search engines Data mining Laboratories knowledge engineering computer science education Crawlers

来源：评论

学校读者我要写书评

暂无评论

Describing low-level image features using the COMM ontology

Describing low-level image features using the COMM ontology

引用

IEEE International Conference on Image Processing

作者： Miroslav Vacura Vojtech Svatek Carsten Saathoff Thomas Franz Raphael Troncy Prague Department of Information and Knowledge Engineering University of Economics Praque Czech Republic Institute for Computer Science University of Koblenz-Landau ISWeb Group Koblenz Germany CWI Amsterdam Netherlands

We present an innovative approach for storing and processing extracted low-level image features based on current semantic Web technologies. We propose to use the COMM multimedia ontology as a "semantic" alternative to the MPEG-7 standard, which is at the same time largely compliant with it. We describe how COMM can be used directly or through its associated Java API.

关键词： Ontologies MPEG 7 Standard Resource description framework Data mining Semantic Web XML OWL Image segmentation Feature extraction Java

来源：评论

学校读者我要写书评

暂无评论

Distributed cooperative multi-robot path planning using differential evolution

Distributed cooperative multi-robot path planning using diff...

引用

Congress on Evolutionary Computation

作者： Jayasree Chakraborty Amit Konar Uday K. Chakraborty L.C. Jain Department of Electronics and TeleCommunication Engineering Jadavpur University Kolkata India Department of Computer Science University of Missouri Saint Louis MO USA Knowledge-Based Intelligent Engineering Systems Centre University of South Australia Adelaide SA Australia

This paper provides an alternative approach to the co-operative multi-robot path planning problem using parallel differential evolution algorithms. Both centralized and distributed realizations for multi-robot path planning have been studied, and the performances of the methods have been compared with respect to a few pre-defined yardsticks. The distributed approach to this problem out-performs its centralized version for multi-robot planning. Relative performance of the distributed version of the differential evolution algorithm has been studied with varying numbers of robots and obstacles. The distributed version of the algorithm is also compared with a PSO-based realization, and the results are competitive.

关键词： Robots Collision avoidance Planning Path planning Robot kinematics Distance measurement Trajectory

来源：评论

学校读者我要写书评

暂无评论

Large-scale patent classification with min-max modular support vector machines

Large-scale patent classification with min-max modular suppo...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Xiao-Lei Chu Chao Ma Jing Li Bao-Liang Lu Masao Utiyama Hitoshi Isahara Department of Computer Science and Engineering Shanghai Jiaotong University Shanghai China Knowledge Creating Communication Research Center National Institute of Information and Communications Technology Soraku-gun Kyoto Japan

Patent classification is a large-scale, hierarchical, imbalanced, multi-label problem. The number of samples in a real-world patent classification typically exceeds one million, and this number increases every year. An effective patent classifier must be able to deal with this situation. This paper discusses the use of min-max modular support vector machine (M 3 -SVM) to deal with large-scale patent classification problems. The method includes three steps: decomposing a large-scale and imbalanced patent classification problem into a group of relatively smaller and more balanced two-class subproblems which are independent of each other, learning these subproblems using support vector machines (SVMs) in parallel, and combining all of the trained SVMs according to the minimization and the maximization rules. M 3 -SVM has two attractive features which are urgently needed to deal with large-scale patent classification problems. First, it can be realized in a massively parallel form. Second, it can be built up incrementally. Results from experiments using the NTCIR-5 patent data set, which contains more than two million patents, have confirmed these two attractive features, and demonstrate that M 3 -SVM outperforms conventional SVMs in terms of both training time and generalization performance.

关键词： Patents Support vector machines Training Training data Classification algorithms Artificial neural networks Accuracy

来源：评论

学校读者我要写书评

暂无评论

Behavioral analysis of co-operative/competitive antibody dynamics

Behavioral analysis of co-operative/competitive antibody dyn...

引用

Congress on Evolutionary Computation

作者： Madhumala Ghosh Amit Konar L. C. Jain Uday K. Chakraborty Department of Electronics and Tele-Communication Engineering Jadavpur University Kolkata India Knowledge-Based Intelligent Engineering Systems Centre University of South Australia Adelaide SA Australia Department of Mathematics & Computer Science University of Missouri Saint Louis MO USA

The paper presents an analysis of chaos, limit cycles and stability in the antigen-antibody interactive dynamics. Both cooperation and competition of antibodies are considered in the dynamics. The classical approach of Lyapunov has been employed here for the stability analysis of the dynamics. computer simulations have been undertaken to support the results of the analysis. Both temporal behaviors of the antibodies and their phase portraits have been given to study their chaotic, limit cyclic and stable behavior. Results of stability analysis of the dynamics have been applied in a garbage cleaning problem by a mobile robot.

关键词： Chaos Stability analysis Immune system Dynamics Oscillators Evolutionary computation Limit-cycles

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151页 << < 122 123 124 125 126 127 128 129 130 131 > >>

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：