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

1,610 篇 会议
1,094 篇 期刊文献
3 册 图书

馆藏范围

2,707 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,774 篇 工学
- 900 篇 计算机科学与技术...
- 816 篇 软件工程
- 463 篇 控制科学与工程
- 302 篇 机械工程
- 262 篇 信息与通信工程
- 195 篇 电气工程
- 177 篇 电子科学与技术（可...
- 155 篇 仪器科学与技术
- 132 篇 生物工程
- 120 篇 交通运输工程
- 115 篇 光学工程
- 102 篇 材料科学与工程（可...
- 98 篇 化学工程与技术
- 73 篇 生物医学工程（可授...
- 67 篇 动力工程及工程热...
- 65 篇 航空宇航科学与技...
- 60 篇 土木工程
- 56 篇 力学（可授工学、理...
- 56 篇 安全科学与工程
- 43 篇 建筑学
911 篇 理学
- 468 篇 数学
- 278 篇 物理学
- 168 篇 统计学（可授理学、...
- 135 篇 生物学
- 134 篇 系统科学
- 80 篇 化学
419 篇 管理学
- 296 篇 管理科学与工程(可...
- 129 篇 图书情报与档案管...
- 90 篇 工商管理
50 篇 法学
- 45 篇 社会学
50 篇 医学
40 篇 经济学
24 篇 艺术学
21 篇 农学
13 篇 文学
9 篇 军事学
6 篇 教育学
2 篇 哲学
1 篇 历史学

主题

141 篇 laboratories
131 篇 intelligent syst...
80 篇 feature extracti...
58 篇 computer science
57 篇 support vector m...
53 篇 training
49 篇 automation
49 篇 control systems
47 篇 neural networks
40 篇 semantics
39 篇 data mining
38 篇 robustness
37 篇 machine learning
36 篇 algorithm design...
35 篇 deep learning
35 篇 optimization
33 篇 image segmentati...
32 篇 object detection
32 篇 sun
31 篇 accuracy

机构

181 篇 state key labora...
116 篇 state key labora...
79 篇 school of automa...
78 篇 state key labora...
65 篇 state key labora...
63 篇 qingdao academy ...
57 篇 intelligent tran...
54 篇 state key labora...
53 篇 school of artifi...
52 篇 university of ch...
48 篇 state key labora...
48 篇 department of co...
42 篇 department of co...
42 篇 beijing engineer...
38 篇 state key labora...
36 篇 state key labora...
36 篇 state key labora...
35 篇 state key labora...
35 篇 state key labora...
34 篇 school of transp...

作者

62 篇 fuchun sun
60 篇 gang xiong
46 篇 fei-yue wang
45 篇 changshui zhang
38 篇 zhidong deng
37 篇 zhu xiaoyan
36 篇 xiong gang
36 篇 zhen shen
36 篇 xiaoqing ding
35 篇 ma shaoping
35 篇 xu hua
35 篇 wang fei-yue
34 篇 zhang min
34 篇 huaping liu
33 篇 bo zhang
32 篇 sun maosong
32 篇 zhang bo
32 篇 liu yiqun
30 篇 peifa jia
30 篇 zengqi sun

语言

2,321 篇 英文
307 篇 其他
82 篇 中文

检索条件"机构=State Key Laboratory of Intelligent Technology& Systems"

共 2707 条记录，以下是2041-2050 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：

Decidable fragments of first-order language under stable model semantics and circumscription

Decidable fragments of first-order language under stable mod...

引用

作者： Zhang, Heng Yinga, Mingsheng State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China Center of Quantum Computation and Intelligent Systems Faculty of Engineering and Information Technology University of Technology Sydney NSW Australia

ISBN: (纸本)9781577354642

The stable model semantics was recently generalized by Ferraris, Lee and Lifschitz to the full first-order language with a syntax translation approach that is very similar to McCarthy's circumscription. In this paper, we investigate the decidability and undecidability of various fragments of first-order language under both semantics of stable models and circumscription. Some maximally decidable classes and undecidable classes are identified. The results obtained in the paper show that the boundaries between decidability and undecidability for these two semantics are very different in spite of the similarity of definition. Moreover, for all fragments considered in the paper, decidability under the semantics of circumscription coincides with that in classical first-order logic. This seems rather counterintuitive due to the second-order definition of circumscription and the high undecidability of first-order circumscription. Copyright © 2010, Association for the Advancement of Artificial Intelligence (***). All rights reserved.

关键词： Computability and decidability

来源：评论

学校读者我要写书评

暂无评论

Detecting epidemic tendency by mining search logs 10

Detecting epidemic tendency by mining search logs

引用

19th International World Wide Web Conference, WWW2010

作者： Kong, Weize Liu, Yiqun Ma, Shaoping Ru, Liyun School of Software Beihang University Beijing 100086 China State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781605587998

We consider the problem of detecting epidemic tendency by mining search logs. We propose an algorithm based on click-through information to select epidemic related queries/terms. We adopt linear regression to model epidemic occurrences and frequencies of epidemic related terms (ERTs) in search logs. The results show our algorithm is effective in finding ERTs which obtain a high correlation value with epidemic occurrences. We also find the proposed method performs better when combining different ERTs than using single ERT. © 2010 Copyright is held by the author/owner(s).

关键词： Epidemiology

来源：评论

学校读者我要写书评

暂无评论

Structure-aware review mining and summarization

Structure-aware review mining and summarization

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Li, Fangtao Han, Chao Huang, Minlie Zhu, Xiaoyan Xia, Ying-Ju Zhang, Shu Yu, Hao State Key Laboratory of Intelligent Technology and Systems China Tsinghua National Laboratory for Information Science and Technology China Department of Computer Science and Technology Tsinghua University China Fujitsu Research and Development Center China

In this paper, we focus on object feature based review summarization. Different from most of previous work with linguistic rules or statistical methods, we formulate the review mining task as a joint structure tagging problem. We propose a new machine learning framework based on Conditional Random Fields (CRFs). It can employ rich features to jointly extract positive opinions, negative opinions and object features for review sentences. The linguistic structure can be naturally integrated into model representation. Besides linear- chain structure, we also investigate conjunction structure and syntactic tree structure in this framework. Through extensive experiments on movie review and product review data sets, we show that structure-aware models outperform many state-of-the-art approaches to review mining.

关键词： Trees (mathematics)

来源：评论

学校读者我要写书评

暂无评论

How about utilizing ordinal information from the distribution of unlabeled data? 10

How about utilizing ordinal information from the distributio...

引用

Proceedings of the 19th ACM international conference on Information and knowledge management

作者： Qian, Mingjie Chen, Bo Xu, Hongzhi Qi, Hongwei State Key Laboratory of Intelligent Technology and Systems Department of Automation Tsinghua University Beijing 100084 China NEC Labs China Beijing 100084 China

ISBN: (纸本)9781450300995

Problems of ordinal regression arise in many fields such as information retrieval, data mining and knowledge management. In this paper, we consider ordinal regression in a semi-supervised scenario, i.e., we try to utilize the ordinal information from the distribution of unlabeled data. Semi-supervised ordinal regression is more applicable than traditional supervised ordinal regression, because nowadays labeled data is expensive and time-consuming as it needs human labor, whereas a large amount of unlabeled data are far accessible with the development of internet technology. As a result, we first construct a general semi-supervised ordinal regression framework to formulate this problem. Based on the framework, we then propose a semi-supervised ordinal regression method called Semi-supervised Ordinal SVM (SOSVM). Additionally, in order to make our proposed method more applicable to problems with large scaled labeled data, we put forward a kernel based dual coordinate descent algorithm to efficiently solve SOSVM. Both rigorous theoretical analysis and promising experimental evaluations on real world datasets show the great performance and remarkable efficiency of SOSVM. © 2010 ACM.

关键词： Knowledge management

来源：评论

学校读者我要写书评

暂无评论

A review selection approach for accurate feature rating estimation

A review selection approach for accurate feature rating esti...

引用

23rd International Conference on Computational Linguistics, Coling 2010

作者： Long, Chong Zhang, Jie Zhu, Xiaoyan Department of Computer Science State Key Laboratory on Intelligent Technology and Systems Tsinghua University China School of Computer Engineering Nanyang Technological University Singapore

In this paper, we propose a review selection approach towards accurate estimation of feature ratings for services on participatory websites where users write textual reviews for these services. Our approach selects reviews that comprehensively talk about a feature of a service by using information distance of the reviews on the feature. The rating estimation of the feature for these selected reviews using machine learning techniques provides more accurate results than that for other reviews. The average of these estimated feature ratings also better represents an accurate overall rating for the feature of the service, which provides useful feedback for other users to choose their satisfactory services.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

A Novel ncRNA Gene Prediction Approach Based on Fuzzy Neural Networks with Structure Learning

A Novel ncRNA Gene Prediction Approach Based on Fuzzy Neural...

引用

The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

作者： Dandan Song Zhidong Deng State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Informat State Key Laboratory of Intelligent Technology and Systems Tsinghua National Laboratory for Informat

Discovering ncRNA genes is a challenging problem, which has attracted much attention recently. The accuracy of computational ncRNA prediction methods still needs to be improved, however, due to the diversity and the lack of consensus patterns of ncRNA genes. In this paper, we propose an effective computational approach based on fuzzy neural networks with structure learning (FNNSL) for novel ncRNA gene prediction. It has advantages such as explicit physical meanings of nodes and parameters in the network, and effective incorporation of prior knowledge by the fuzzy sets theory. Specifically, a structure learning algorithm is presented to decrease parameter dimensions, enhance the computational efficiency, and avoid the over-learning. In addition, a fuzzy c-means clustering method is adopted for fuzzy partitioning of input feature variables, and the corresponding implementations are compared to the other ncRNA gene prediction tools. The improved prediction accuracy demonstrates the effectiveness of the proposed approach.

关键词： Fuzzy neural networks Bioinformatics Genomics RNA Artificial neural networks Laboratories Computer science Proteins Neural networks Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Self-learning scheduling approach for wireless sensor network

Self-learning scheduling approach for wireless sensor networ...

引用

2010 2nd International Conference on Future Computer and Communication, ICFCC 2010

作者： Niu, Jianjun State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing China Beijing Special Engineering Design and Research Institute Beijing China

ISBN: (纸本)9781424458226

Energy efficiency is one of key issues of wireless sensor network (WSN). In this paper, we propose a self-learning scheduling approach (SSA) to reduce energy consumption for wireless sensor network (WSN). This approach integrates sleep scheduling together with packet transmission scheduling to reduce energy consumption. It enables nodes to learn continuous transmission parameters and sleep parameter through interacting with the WSN. The continuous value of transmission parameter is achieved by our extension of Q-learning method, and the value of sleep parameter can be calculated from the transmission parameter. We valid this approach in a MAC protocol and compare some network performances between the SSA and SMAC protocol. The simulation results show that our SSA performs much better than SMAC protocol in these QoS metrics. ©2010 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Evolutionary self-learning scheduling approach for wireless sensor network

Evolutionary self-learning scheduling approach for wireless ...

引用

2010 International Conference on intelligent Computation technology and Automation, ICICTA 2010

作者： Niu, Jianjun Department of Computer Science and Technology State Key Laboratory of Intelligent Technology and Systems Tsinghua University Beijing China Beijing Special Engineering Design and Research Institute Beijing China

ISBN: (纸本)9780769540771

Energy efficiency is very important for wireless sensor network (WSN). This paper presents an evolutionary self-learning scheduling approach (ESSA) to reduce energy consumption for WSN. The ESSA is based on a new proposed scheme - evolutionary Q-learning with continuous-action (EQC) approach, which combines an extension of Q-learning method with particle swarm optimization (PSO) algorithm. The action space of EQC is partitioned into lots of subintervals. And each endpoint of the subintervals is characterized by a discrete action value and a Q-value. The continuous action value is the weighted average of discrete actions according to their Q-values. The PSO algorithm is combined to let an agent profit the experience of other agents. We valid the ESSA in a MAC protocol and simulation results show that the ESSA is an effective method and performs much better than SMAC protocol. © 2010 IEEE.

关键词： Scheduling

来源：评论

学校读者我要写书评

暂无评论

A novel control method for robotic belt grinding based on SVM and PSO algorithm

A novel control method for robotic belt grinding based on SV...

引用

2010 International Conference on intelligent Computation technology and Automation, ICICTA 2010

作者： Liang, Wei Song, Yixu Lv, Hongbo Jia, Peifa Gan, Zhongxue Qi, Lizhe Department of Computer Science and Technology State Key Laboratory on Intelligent Technology and Systems Tsinghua University Beijing 100084 China InterSmart Robotic Systems Co. Ltd. Langfang HeBei 065001 China

ISBN: (纸本)9780769540771

In this paper, a novel method for robotic belt grinding based on support vector machine and particle swarm optimization algorithm is presented. Firstly, the dynamic model of the robotic belt grinding process is built using support vector machine method. This is the basis of our work because the dynamic model shows the relation between the removal and control parameters contact force and robot's speed of robot. Secondly, the method of reverse solution of the dynamic model is introduced. According to this method, control parameters of robot can be accurately calculated by the given value of removal. Finally, the PSO algorithm is introduced to get smooth and stable trajectories of the control parameters, because the trajectory jitter of the control parameters has a great influence on the grinding accuracy. The experiment results show that the novel method for robotic belt grinding performs well in the control of the robot parameters and the grinding accuracy is improved. © 2010 IEEE.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

A comparative study of combining multiple features for fingerprint recognition

A comparative study of combining multiple features for finge...

引用

1st International Workshop on Emerging Techniques and Challenges for Hand-Based Biometrics, ETCHB 2010

作者： Chen, Fanglin Zhou, Jie State Key Laboratory on Intelligent Technology and Systems Department of Automation Tsinghua University Beijing 100084 China Department of Automation Tsinghua University Beijing 100084 China

ISBN: (纸本)9781424470655

A number of different features, besides minutiae, have been used for fingerprint matching. There include orientation-based minutia descriptor, FingerCode, ridge feature map, orientation map, and density map. Previous studies have shown that the performance of a fingerprint recognition system can be improved by combining these features with minutiae through a fusion strategy. In this paper, a comparative study of combining multiple features is carried out on a large database. Based on the experimental results, some useful conclusions can be drawn: (1) A larger improvement can usually be obtained as we combine more features;(2) However, beyond 4 features, the performance improvement is very small. (3) MD (minutiae and orientation-based minutia descriptor) are the best of two-feature combinations. It is interesting that the single feature D (minutia descriptor) does not perform the best, but the combination of MD (minutiae and minutia descriptor) performs very well. (4) Although the combinations of MO and MD performs the best among the two-feature combinations, MDO performs not so good as MDR (minutiae, minutia descriptor, and ridge density map) due to the correlativeness between D and O. These observations are helpful for designing practical fingerprint matching systems. © 2010 IEEE.

关键词： Pattern matching

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271页 << < 201 202 203 204 205 206 207 208 209 210 > >>

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：