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

325 篇 会议
155 篇 期刊文献
2 篇 学位论文

馆藏范围

482 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

417 篇 工学
- 195 篇 计算机科学与技术...
- 118 篇 电气工程
- 68 篇 控制科学与工程
- 55 篇 软件工程
- 46 篇 信息与通信工程
- 35 篇 仪器科学与技术
- 30 篇 机械工程
- 25 篇 生物医学工程（可授...
- 24 篇 测绘科学与技术
- 16 篇 电子科学与技术（可...
- 16 篇 环境科学与工程（可...
- 13 篇 石油与天然气工程
- 10 篇 生物工程
- 6 篇 材料科学与工程（可...
- 6 篇 动力工程及工程热...
- 6 篇 化学工程与技术
- 6 篇 航空宇航科学与技...
- 5 篇 光学工程
101 篇 理学
- 29 篇 数学
- 19 篇 系统科学
- 17 篇 物理学
- 15 篇 生物学
- 10 篇 地球物理学
- 9 篇 化学
- 5 篇 统计学（可授理学、...
54 篇 医学
- 36 篇 临床医学
- 9 篇 基础医学(可授医学...
42 篇 管理学
- 36 篇 管理科学与工程(可...
26 篇 农学
- 15 篇 农业资源与环境
- 9 篇 作物学
6 篇 教育学
3 篇 文学
2 篇 法学
1 篇 哲学
1 篇 经济学
1 篇 军事学

主题

482 篇 sorting algorith...
88 篇 classification a...
50 篇 feature extracti...
40 篇 support vector n...
36 篇 classifiers
31 篇 algorithms
30 篇 taxonomy
25 篇 training
24 篇 dataset
23 篇 support vector m...
22 篇 functional train...
20 篇 image classifica...
19 篇 pattern recognit...
16 篇 sorting programs
15 篇 algorithm design...
15 篇 classification
15 篇 accuracy
14 篇 pattern classifi...
13 篇 sorting
13 篇 learning (artifi...

机构

3 篇 cairo univ fac c...
3 篇 sun yat sen univ...
2 篇 univ firenze dip...
2 篇 princeton univ p...
2 篇 univ fed rio gra...
2 篇 univ calif davis...
2 篇 natl tsing hua u...
2 篇 univ cent florid...
2 篇 mit cambridge ma...
2 篇 univ uppsala dep...
2 篇 shanghai jiao to...
2 篇 socomec vicenza
2 篇 université de bo...
2 篇 hong kong inst e...
2 篇 johns hopkins un...
1 篇 nanjing univ pos...
1 篇 int inst geoinfo...
1 篇 beihang univ fer...
1 篇 univ reading sch...
1 篇 univ hosp leuven...

作者

5 篇 nong ge
4 篇 yannick berthoum...
4 篇 lionel bombrun
3 篇 chan wai hong
3 篇 wu yi
3 篇 aurelien schutz
2 篇 babaeizadeh saee...
2 篇 janson s
2 篇 tresca giulia
2 篇 wang ping
2 篇 de paris jean-mi...
2 篇 chaudhury santan...
2 篇 hassanien aboul ...
2 篇 fill ja
2 篇 hua yifan
2 篇 liu jun
2 篇 ferrari luca
2 篇 desouza guilherm...
2 篇 zheng shengan
2 篇 wang zhe

语言

446 篇 英文
23 篇 其他
11 篇 中文
2 篇 土耳其文

检索条件"主题词=Sorting algorithm"

共 482 条记录，以下是451-460 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：

ON THE ARCHITECTURE OF A BIG DATA CLASSIFICATION TOOL BASED ON A MAP REDUCE APPROACH FOR HYPERSPECTRAL IMAGE ANALYSIS

ON THE ARCHITECTURE OF A BIG DATA CLASSIFICATION TOOL BASED ...

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： V. A. Ayma R. S. Ferreira P. N. Happ D. A. B. Oliveira G. A. O. P. Costa R. Q. Feitosa A. Plaza P. Gamba Dept. of Electrical Engineering Pontifical Catholic University of Rio de Janeiro Dept. of Technology of Computers and Communications University of Extremadura Dept. of Electronics University of Pavia

ISBN: (纸本)9781479979301

Advances in remote sensors are providing exceptional quantities of large-scale data with increasing spatial, spectral and temporal resolutions, raising new challenges in its analysis, e.g. those presents in classification processes. This work presents the architecture of the InterIMAGE Cloud Platform (ICP): Data Mining Package;a tool able to perform supervised classification procedures on huge amounts of data, on a distributed infrastructure. The architecture is implemented on top of the MapReduce framework. The tool has four classification algorithms implemented taken from WEKA's machine learning library, namely: Decision Trees, Naive Bayes, Random Forest and Support Vector Machines. The SVM classifier was applied on datasets of different sizes (2 GB, 4 GB and 10 GB) for different cluster configurations (5, 10, 20, 50 nodes). The results show the tool as a potential approach to parallelize classification processes on big data.

关键词： MapReduce Big Data Classification algorithms Cloud Computing big data ARCHITECTURE Cloud Computing Building construction sorting algorithm Support Vector Network image analysis Remote sensing equipment temporal resolution Decision Trees

来源：评论

学校读者我要写书评

暂无评论

Semi-Supervised Sleep-Stage Scoring Based on Single Channel EEG

Semi-Supervised Sleep-Stage Scoring Based on Single Channel ...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： A. M. Munk K. V. Olesen S. W. Gangstad L. K. Hansen Technical University of Denmark Department of Applied Mathematics and Computer Science DK-2800 Kongens Lyngby Denmark

ISBN: (纸本)9781538646595

The field of automatic sleep stage classification based on EEG has enjoyed substantial attention during the last decade, which has resulted in several supervised classification algorithms with highly encouraging performance. Such supervised machine learning algorithms require large training sets that have been manually labelled, and are time- and resource-consuming to acquire. Here we present a semi-supervised approach that can learn to distinguish the sleep stages from a one-night data set where only a fraction has been manually labelled. We show that for fractions larger than 50%, our semi-supervised approach performs as good as a similar, fully-supervised model.

关键词： EEG semi-supervised learning sleep stage scoring non-negative matrix factorizaton generalizable Gaussian mixture model Electroencephalography Semi-supervised Learning Scoring Scoring Manual handling Sleep Stages sorting algorithm

来源：评论

学校读者我要写书评

暂无评论

CENTROID-BASED TEXTURE CLASSIFICATION USING THE SIRV REPRESENTATION

CENTROID-BASED TEXTURE CLASSIFICATION USING THE SIRV REPRESE...

引用

IEEE International Conference on Image Processing

作者： Aurélien Schutz Lionel Bombrun Yannick Berthoumieu Université de Bordeaux ENSEIRB-Matmeca Laboratoire IMS Groupe Signal et Image

ISBN: (纸本)9781479923427

This paper introduces a centroid-based (CB) supervised classification algorithm of textured images. In the context of scale/orientation decomposition, we demonstrate the possibility to develop centroid approach based on multivariate stochastic modeling. The main interest of the multivariate modeling comparatively to the univariate case is to consider spatial dependency as additional features for characterizing texture content. The aim of this paper is twofold. Firstly, we introduce the Spherically Invariant Random Vector (SIRV) representation for the modeling of wavelet coefficients. Secondly, from the specific properties of the SIRV process, i.e. the independence between the two sub-processes of the compound model, we derive centroid estimation scheme. Experiments from various conventional texture databases are conducted and demonstrate the interest of the proposed classification algorithm.

关键词： textured images Jeffrey divergence SIRV model centroid supervised classification Centroid sorting algorithm textures additional features specific properties

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Targeting Advertising System based on C4.5 algorithm

Design and Implementation of Targeting Advertising System ba...

引用

International Conference on Computer Science and Network Technology

作者： Xuefei Wang Yan Shi The Open University of Harbin

ISBN: (纸本)9781467381741

With the development of Big data, cloud storage and data mining, targeting advertising technology has aroused wide attention. So many companies have invested in the target mobile advertising market in this area. Targeting advertising can effectively save resources, reduce capital investment. Aiming at this problem, this paper proposed a new method for targeting advertising based on C4.5 algorithm and cloud storage. The mess data about users, such as user information, user browsing behavior and so on, is stored in the cloud. With C4.5 algorithm, we do mess data processing for data classification. Then, with the results of classification, the server-push blocks push targeted advertising for users. This paper introduces the structure of the system and the detailed analysis of the classification algorithm. And the classification results obtained in this paper are compared with those by other algorithms. It is believed that this paper will be helpful in the development of targeting advertising.

关键词： target advertising Big data C4.5 algorithm big data Advertising as Topic targeting sorting algorithm data classification pushing Cloud Computing paper Consumers

来源：评论

学校读者我要写书评

暂无评论

A Reduction from Apprenticeship Learning to Classification 10

A Reduction from Apprenticeship Learning to Classification

引用

Annual Conference on Neural Information Processing Systems

作者： Umar Syed Robert E. Schapire Department of Computer and Information Science University of Pennsylvania Philadelphia PA 19104 Department of Computer Science Princeton University Princeton NJ 08540

ISBN: (纸本)9781617823800

We provide new theoretical results for apprenticeship learning, a variant of reinforcement learning in which the true reward function is unknown, and the goal is to perform well relative to an observed expert. We study a common approach to learning from expert demonstrations: using a classification algorithm to learn to imitate the expert's behavior. Although this straightforward learning strategy is widely-used in practice, it has been subject to very little formal analysis. We prove that, if the learned classifier has error rate ∈, the difference between the value of the apprentice's policy and the expert's policy is O(∈~(1/2)). Further, we prove that this difference is only O(∈) when the expert's policy is close to optimal. This latter result has an important practical consequence: Not only does imitating a near-optimal expert result in a better policy, but far fewer demonstrations are required to successfully imitate such an expert. This suggests an opportunity for substantial savings whenever the expert is known to be good, but demonstrations are expensive or difficult to obtain.

关键词： Apprenticeship Learning sorting algorithm formal analysis Policies

来源：评论

学校读者我要写书评

暂无评论

A Pattern Recognition Approach for Enhancing Lifecycle Maintainability of Battery Systems

A Pattern Recognition Approach for Enhancing Lifecycle Maint...

引用

IEEE International Symposium on Systems Engineering (ISSE)

作者： R. Pirani J. Cale Department of Systems Engineering Colorado State University Fort Collins CO USA

This paper introduces an approach for pre-screening manufactured batteries before system deployment, with the goal of reducing higher lifecycle maintenance costs attributed to failure-prone batteries. The method employs a pattern recognition algorithm for classifying parts for acceptance or rejection. The paper describes the classification algorithm and demonstrates its performance on example pre-acceptance test data. Using an example system maintenance concept, the economic and operational impacts of the classification are also demonstrated.

关键词： battery management systems cost reduction failure analysis maintenance engineering pattern classification power engineering computing reliability secondary cells Battery management systems Power engineering computing Secondary batteries Maintenance engineering Batteries Pattern recognition COST REDUCTION FAILURE ANALYSIS sorting algorithm Life cycle pattern recognition method pictorial pattern recognition algorithm

来源：评论

学校读者我要写书评

暂无评论

Abnormal objective recognition in video based on data mining of finance industry

Abnormal objective recognition in video based on data mining...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Zhi-Wang Jiang Hong-Xia Zhang Financial Intelligence Application Technology R&D- Center of Hebei Province Baoding China

ISBN: (纸本)9781467372220

In order to strengthen the financial industry security, this paper puts forward an intelligent monitoring system which has the function of abnormal automatic moving object recognition based on data mining technology. First of all, this paper elaborates the common classification of data mining methods, through the experiment and comparison, and selects associative classification algorithm for mining algorithm; Secondly, based on support and confidence level optimization, the associative classification algorithm is proposed, and simulation experiment shows that this method is effective to overcome the experience in accordance with the values given threshold caused adverse effect; Finally, the intelligent monitoring system consists of data mining system and the user's system. It is not only to achieve the purpose of the intelligent monitoring, but also to achieve a good human-computer interaction.

关键词： Associative classification Confidence level Data mining Object recognition Support data mining object recognition sorting algorithm Videotapes data mining system simulation test Support Associative

来源：评论

学校读者我要写书评

暂无评论

Segmentation algorithms of Chromosome Images

Segmentation Algorithms of Chromosome Images

引用

International Conference on Computer Science and Network Technology

作者： Wenzhong Yan Dongming Li Dept. of Comput. North China Inst. of Sci. & Technol. Beijing China

ISBN: (纸本)9781479905607

The chromosome segmentation is the most important step in the automatic chromosome analysis system. In this paper, a few basic chromosome segmentation algorithms are investigated firstly. As a common phenomenon, the partial touching and overlapping chromosomes occur in almost every metaphase images. So, as a difficult yet vital problem, the algorithms for overlapping chromosomes are discussed in detail. The principle and the realization of these algorithms are analyzed. Results of these algorithms are compared and discussed.

关键词： biology computing cellular biophysics image segmentation automatic chromosome analysis system chromosome images chromosome segmentation algorithm metaphase image overlapping chromosomes partial touching chromosomes segmentation algorithms Accuracy algorithm design and analysis Biological cells Classification algorithms Entropy Image segmentation Shape chromosome overlapping segmentation image segmentation algorithm design and analysis Chromosomes biology computing cellular biophysics cytology sorting algorithm segmentation Segmentation entropy

来源：评论

学校读者我要写书评

暂无评论

AN INVESTIGATION ON BACK-END FOR SPEAKER RECOGNITION IN MULTI-SESSION ENROLLMENT

AN INVESTIGATION ON BACK-END FOR SPEAKER RECOGNITION IN MULT...

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Gang Liu Taufiq Hasan Hynek Boril John H.L. Hansen Center for Robust Speech Systems (CRSS) Erik Jonsson School of Engineering and Computer Science University of Texas at Dallas Richardson Texas 75083 USA

ISBN: (纸本)9781479903573

This study explores various back-end classifiers for robust speaker recognition in multi-session enrollment, with emphasis on optimal utilization and organization of speaker information present in the development data. Our objective is to construct a highly discriminative back-end framework by fusing several back-ends on an i-vector system framework. It is demonstrated that, by using different information/data configuration and modeling schemes, performance of the fused system can be significantly improved compared to an individual system using a single front-end and back-end. Averaged across both genders, we obtain a relative improvement in EER and minDCF by 56.5% and 49.4%, respectively. Consistent performance gains obtained using the proposed strategy validates its effectiveness. This system is part of the CRSS' NIST SRE 2012 submission system.

关键词： Universal Background Support PLDA speaker recognition GCDS classification algorithms Loudspeakers back-end sorting algorithm speaker recognition individual system front-ends energy efficiency ratio

来源：评论

学校读者我要写书评

暂无评论

Malicious Web Content Detection Using Machine Leaning

Malicious Web Content Detection Using Machine Leaning

引用

IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology

作者： Anand Desai Janvi Jatakia Rohit Naik Nataasha Raul Sardar Patel Institute of Technology

ISBN: (纸本)9781509037056

Naive users using a browser have no idea about the back-end of the page. The users might be tricked into giving away their credentials or downloading malicious data. Our aim is to create an extension for Chrome which will act as middleware between the users and the malicious websites, and mitigate the risk of users succumbing to such websites. Further, all harmful content cannot be exhaustively collected as even that is bound to continuous development. To counter this we are using machine learning- to train the tool and categorize the new content it sees every time into the particular categories so that corresponding action can be taken.

关键词： Feature extraction Uniform resource locators Classification algorithms algorithm design and analysis Tools Prediction algorithms Uniform Resource Locator algorithm design and analysis Prediction algorithms sorting algorithm Feature extraction Consumers chromium Web page content Credentialing

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49页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：