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

23,264 篇 会议
2,869 篇 期刊文献
16 篇 学位论文

馆藏范围

26,149 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,606 篇 工学
- 3,372 篇 计算机科学与技术...
- 3,172 篇 电气工程
- 1,818 篇 信息与通信工程
- 627 篇 控制科学与工程
- 539 篇 软件工程
- 459 篇 仪器科学与技术
- 299 篇 机械工程
- 293 篇 测绘科学与技术
- 287 篇 生物医学工程（可授...
- 148 篇 电子科学与技术（可...
- 109 篇 交通运输工程
- 102 篇 生物工程
- 94 篇 环境科学与工程（可...
- 75 篇 网络空间安全
- 67 篇 航空宇航科学与技...
- 42 篇 材料科学与工程（可...
- 40 篇 土木工程
780 篇 理学
- 186 篇 物理学
- 142 篇 地球物理学
- 131 篇 生物学
- 122 篇 系统科学
- 96 篇 数学
- 92 篇 地理学
- 50 篇 化学
519 篇 管理学
- 474 篇 管理科学与工程(可...
463 篇 医学
- 360 篇 临床医学
- 87 篇 基础医学(可授医学...
181 篇 农学
- 97 篇 作物学
- 68 篇 农业资源与环境
74 篇 文学
- 70 篇 新闻传播学
22 篇 教育学
21 篇 经济学
19 篇 艺术学
12 篇 法学
7 篇 军事学
2 篇 历史学

主题

26,149 篇 classification a...
6,434 篇 feature extracti...
5,164 篇 training
4,610 篇 accuracy
4,327 篇 support vector m...
3,163 篇 machine learning...
2,647 篇 prediction algor...
2,639 篇 clustering algor...
2,496 篇 algorithm design...
2,345 篇 data mining
2,222 篇 machine learning
1,590 篇 data models
1,383 篇 deep learning
1,348 篇 optimization
1,330 篇 decision trees
1,174 篇 testing
1,162 篇 predictive model...
1,129 篇 computational mo...
1,099 篇 neural networks
1,021 篇 databases

机构

63 篇 chitkara univers...
23 篇 centre of resear...
23 篇 college of infor...
20 篇 school of comput...
18 篇 tsinghua univers...
18 篇 university of ch...
17 篇 chitkara centre ...
17 篇 school of inform...
16 篇 school of comput...
16 篇 school of comput...
16 篇 department of co...
15 篇 school of electr...
14 篇 computer science...
14 篇 univ chinese aca...
14 篇 microsoft resear...
14 篇 school of comput...
13 篇 school of electr...
13 篇 school of electr...
13 篇 school of comput...
12 篇 department of in...

作者

29 篇 wei li
22 篇 hui wang
22 篇 jun wang
21 篇 lei wang
17 篇 xia sun
17 篇 yang yang
16 篇 jing zhang
15 篇 jun zhang
14 篇 xi chen
14 篇 liu yang
14 篇 li zhang
14 篇 jie li
13 篇 jian wang
13 篇 rakesh kumar
13 篇 jie yang
13 篇 jun shi
13 篇 chen chen
12 篇 bing xue
12 篇 ahmad jalal
12 篇 xuegang hu

语言

26,023 篇 英文
85 篇 其他
33 篇 中文
4 篇 土耳其文
3 篇 法文
1 篇 德文
1 篇 西班牙文
1 篇 俄文

检索条件"主题词=Classification Algorithms"

共 26149 条记录，以下是4891-4900 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：

Improved Motion classification Techniques for Adaptive Multi-Pattern Fast Block-Matching Algorithm

Improved Motion Classification Techniques for Adaptive Multi...

引用

IEEE International Conference on Image Processing

作者： Ivan Gonzalez-Diaz Fernando Diaz-de-Maria Department of Signal Theory and Communications Universidad Carlos III de Madrid Madrid Spain

In several video coding standards, such as H.264, motion estimation becomes the most-time consuming subsystem. Therefore, recently research on video coding focuses on the development of novel algorithms able to save computations with minimal effects over the coding distortion. Due to the fact that real video sequences usually exhibit a wide-range of motion content, from uniform to random, and to the vast amount of coding applications demanding different degrees of coding quality, adaptive algorithms have revealed as the most robust general purpose solutions. In particular, multi-pattern algorithms can adapt to video contents as well as to required coding quality by means of the use of a set of heterogeneus search patterns, each one adapting better to particular motion and quality requirements. This paper applies some improvements to the Motion classification based Search, an adaptive multi-pattern algorithm based on motion classification techniques. Our experimental results show that MCS notably reduces the computational cost with respect to some well-known algorithms while maintaining the quality.

关键词： Motion estimation Robustness Video coding Video sequences Computational efficiency Motion measurement Switches Communication standards Adaptive algorithm classification algorithms

来源：评论

学校读者我要写书评

暂无评论

Multiple kernel learning based on ideal kernel optimization for hyperspectral imagery classification

Multiple kernel learning based on ideal kernel optimization ...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Wei Gao Yu Peng Auomatic Test and Control Institute Harbin Institute of Technology Harbin China

ISBN: (纸本)9781509033331

In this paper, a novel multiple-kernel learning (MKL) algorithm is proposed for classification of hyperspectral images. The goal of classification is to acquire the class label of each pixel. The land covers is linearly separable in the kernel space spanned by class labels (ideal kernel). The ideal kernel is used as the optimization objective of our proposed MKL algorithm. Linear programming (LP) and signal sparse representation (SSR) are used to find the optimal weighting coefficients of basic kernels in our proposed based on ideal kernel MKL (BoIKMKL), thus leading to two variants of the proposed method, BoIKMKL-LP and BoIKMKL-SSR, respectively. Experiments are conducted on a real hyperspectral data set, and the experimental results show that the proposed algorithms, especially for BoIKMKL-LP, achieve the outstanding performance for hyperspectral image classification with few labeled samples when compared with several state-of-the-art algorithms. To a certain extent, BoIKMKL-SSR solves the problem of basic kernels redundancy with satisfactory classification accuracy.

关键词： Kernel classification algorithms Hyperspectral imaging Training Optimization Support vector machines Linear programming

来源：评论

学校读者我要写书评

暂无评论

Malware classification Using XGBoost and Genetic Algorithm for Hyperparameter Tuning

Malware Classification Using XGBoost and Genetic Algorithm f...

引用

International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Usha Divakarla K Chandrasekaran Harish S V Pooja Gayatri Kanal Shalini C N M A M Institute of Technology Nitte Karkala Udupi National Institute of Technology Surathkal Mangalore Karnataka Manipal Institute of Technology Manipal

ISBN: (数字)9798331505462

ISBN: (纸本)9798331505479

All human activities are being moved into the virtual world due to technological advancements. Since so much of our data is stored on computers and networks, the frequency of cyberattacks has sharply increased. Understanding the many types of malware, their danger level, defense strategies, and potential methods of infecting computers and other devices requires the ability to identify and classify them. In this research, we propose a malware categorization model. Our proposed model is based on XGBoost and uses a Genetic Algorithm for hyperparameter tuning. The system achieved high accuracy with the help of two different malware datasets used for testing and training: Malevis and Malimg.

关键词： Training Computers Accuracy Computational modeling Malware Data models classification algorithms Tuning Genetic algorithms Testing

来源：评论

学校读者我要写书评

暂无评论

Automatic classification of combined analog and digital modulation schemes using feedforward neural network

Automatic classification of combined analog and digital modu...

引用

AFRICON Conference

作者： Jide Julius Popoola Rex van Olst School of Electrical and Information Engineering University of the Witwatersrand Johannesburg South Africa

This paper presents an artificial neural network based automatic modulation classifier system which can be used to classify combined analog and digital modulation schemes. Four best known analog modulation schemes and five corresponding digital modulation schemes were considered. An approach that involves three different steps in developing an automatic modulation classification is presented. The first step involves the extraction of the statistical feature keys used as the inputs to the classifier. The statistical feature keys are extracted from instantaneous amplitude, instantaneous frequency and phase of the simulated signals using MATLAB code. The second step involves the development of the automatic modulation classifier based on a backpropagation neural network algorithm. The third step of the methodology involves the performance evaluation of the developed automatic modulation classifier with a related study from the research literature. Results obtained show that the developed classifier is accurate and sensitive to classification of the nine modulation schemes considered with an average success rate above 99.0%.

关键词： Neurons classification algorithms Feature extraction Signal to noise ratio Frequency modulation Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

An Ensemble classification Framework Based on Latent Factor Analysis

An Ensemble Classification Framework Based on Latent Factor ...

引用

IEEE International Conference on Human-Machine Systems

作者： Xia He Xiaoguang Lin Di Wu Juan Wang School of Computer Science China West Normal University Nanchong Sichuan China Chinese Academy of Sciences Chongqing Institute of Green and Intelligent Technology Chongqing China

ISBN: (数字)9781728158716

ISBN: (纸本)9781728158723

classification, which is one of the most powerful approaches to filter valuable information from big data, is a typical supervised learning method of machine learning. In many real applications, the collected data may contain many redundant features and have some missing entries. If a classifier is learned directly on such data, it cannot obtain a satisfactory classification performance. In this paper, we propose an ensemble classification framework based on latent factor analysis (ECF-LFA). Its main idea includes two parts: 1) employing the latent factor analysis (LFA) to extract the latent factors (LFs) from original data, which can avoid the influence of redundant features and handle the data with many missing entries, and 2) using these extracted LFs as the input for base classifiers to conduct the ensemble learning, which can boost a base classifier's classification accuracy. Experimental results on four benchmark datasets and three well-known classification algorithms verify that ECF-LFA can effectively improve a classifier's performances.

关键词： classification algorithms Sparse matrices Machine learning Data mining Big Data Supervised learning Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Performance of texture descriptors in classification of medical images with outsiders in database

Performance of texture descriptors in classification of medi...

引用

Seminar on Neural Network Applications in Electrical Engineering

作者： Aleksej Avramović Branko Marović Faculty of Electrical Engineering University of Banja Luka Bosnia and Herzegovina Belgrade University Computer Centre Serbia

During the years image classification gained important significance in practice, especially in the fields of digital radiology, remote sensing, image retrieval, etc. Typical algorithm for image classification contains descriptor extraction phase, learning phase and testing phase. Testing phase calculates accuracy of the classifier based on predetermined set of labelled images. This paper analyse performance of texture descriptors combined with SVMs, in the case when test dataset contains images not belonging to any predetermined class. A robustness of texture descriptors on outsiders is analysed, to see if descriptor is able to separate outsiders in specific class. Medical dataset containing various radiology images is used for testing. It was shown that it is possible to separate images not belonging to any class with cost of decreased performance by few percent.

关键词： classification algorithms Feature extraction Image segmentation Biomedical imaging Image retrieval Vectors

来源：评论

学校读者我要写书评

暂无评论

cLP: Linear Programming with Biological Constraints and its Application in classification Problems

cLP: Linear Programming with Biological Constraints and its ...

引用

IEEE International Conference on Systems Biology.

作者： Manli Zhou Youxi Luo Guoqin Mai Fengfeng Zhou Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong

ISBN: (纸本)9781479972951

Feature selection represents a major challenge in the biomedical data mining problem, and numerous algorithms have been proposed to select an optimal subset of features with the best classification performance. However, the existing algorithms do not take into account the vast amount of biomedical knowledge from the literature and experienced researchers. This work proposes a novel feature selection algorithm, cLP, with the optimized binary classification accuracy. The proposed algorithm incorporates the biomedical knowledge as constraints in the linear programming based optimization model. The experimental data shows that cLP outperforms the other feature selection algorithms, and its constrained version performs similarly well with the unconstrained version. Although theoretically constraints will reduce the classification model performance, our data shows that the constrained cLP sometimes even outperforms the unconstrained version. This suggests that besides the benefit of including biomedical knowledge in the model, the constrained cLP may also achieve better classification performance.

关键词： classification algorithms Cancer Biological system modeling Linear programming Bioinformatics Support vector machines Gene expression

来源：评论

学校读者我要写书评

暂无评论

Sentiment classification for Chinese product reviews using an unsupervised Internet-based method

Sentiment classification for Chinese product reviews using a...

引用

International Conference on Management Science and Engineering (ICMSE)

作者： Rob Law Zi-qiong Zhang Yi-jun Li Qiang Ye Hong Kong Polytechnic University Hong Kong Sch. of Manage. Harbin Inst. of Technol. Harbin Hong Kong Polytechnic University Kowloon HK

Sentiment classification aims at mining opinions of customers for a certain product by automatically classifying the reviews into positive or negative opinions. With the fast developing of World Wide Web applications, sentiment classification would have huge opportunity to help automatic analysis of customerspsila opinions from the web information. Opinion mining will benefit both consumers and sellers. Up to now, it is still a complicated task with great challenge. Though some pioneer researches explored the approaches for English review classification, few works have been done on sentiment classification for Chinese reviews. In this paper, we focus on a specific domain-cell phone review and propose an Internet-based approach for Chinese product review mining. The experimental results show the effectiveness of the proposed approach in sentiment classification for Chinese product reviews.

关键词： Internet Conference management Technology management Engineering management Web sites Information analysis Cellular phones classification algorithms Labeling Buildings

来源：评论

学校读者我要写书评

暂无评论

classification of acoustic and seismic data using nonlinear dynamical signal models

Classification of acoustic and seismic data using nonlinear ...

引用

IEEE Workshop on Statistical Signal and Array Processing

作者： R.K. Lennartsson A. Pentek J.B. Kadtke Defence Research Establishment Stockholm Sweden

One of the most important applications of nonlinear dynamics is the estimation of empirical dynamical models from data, in order to explain time series derived from physical processes. Such derived models can then be used for a variety of data processing applications, in particular for detection and classification problems. Typically, the parameters of such dynamical models are estimated directly from the time series by minimizing a cost function with least squares. In this paper we discuss the theory and applications of an alternate approach for estimation of such nonlinear dynamical models and the use of these models for detection and classification of seismic and acoustic data. We apply these ideas to real data derived from seismic station recordings in the region of the Panama Canal. Finally we compare our results with that previously achieved by the method of master-event correlations, and find improved performance. This indicates that a dynamical model approach incorporates additional signal information in this example.

关键词： Nonlinear acoustics Detectors Acoustic signal detection Acoustic applications Delay estimation Differential equations Sea measurements classification algorithms Data processing Cost function

来源：评论

学校读者我要写书评

暂无评论

CART Decision Tree Combined with Boruta Feature Selection for Medical Data classification

CART Decision Tree Combined with Boruta Feature Selection fo...

引用

IEEE International Conference on Big Data Analysis (ICBDA)

作者： Rong Tang Xiaojun Zhang School of Mathematical Sciences University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9781728141114

ISBN: (纸本)9781728141121

As the data stored in the medical database may contain missing values and redundant data, making medical data classification challenging. According to the characteristics of the medical data set containing missing values, the classification and regression (CART) algorithm is naturally thought of. However, when the CART algorithm processes a data set with too many categories, the error rate will increase rapidly and easily lead to overfitting. This paper proposes a solution for the characteristics of medical data sets and the shortcomings of CART algorithm. In order to improve the accuracy of medical data, the Boruta method was proposed to reduce the dimension. Then CART algorithm is used to classify feature subset. The data set on UCI was used in the experiment, and the results show that the accuracy of the CART algorithm is improved.

关键词： Medical diagnostic imaging Feature extraction classification algorithms Training Indexes Diseases Decision trees

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500页 << < 486 487 488 489 490 491 492 493 494 495 > >>

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：