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

2,444 篇 会议
49 册 图书
25 篇 期刊文献

馆藏范围

2,518 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,319 篇 工学
- 989 篇 计算机科学与技术...
- 894 篇 软件工程
- 120 篇 电气工程
- 112 篇 信息与通信工程
- 111 篇 土木工程
- 105 篇 控制科学与工程
- 88 篇 材料科学与工程（可...
- 86 篇 生物医学工程（可授...
- 84 篇 机械工程
- 75 篇 生物工程
- 66 篇 安全科学与工程
- 64 篇 建筑学
- 57 篇 动力工程及工程热...
- 50 篇 力学（可授工学、理...
- 43 篇 化学工程与技术
- 35 篇 交通运输工程
- 34 篇 仪器科学与技术
430 篇 理学
- 265 篇 数学
- 99 篇 统计学（可授理学、...
- 98 篇 物理学
- 84 篇 生物学
- 63 篇 系统科学
- 40 篇 化学
- 40 篇 地球物理学
256 篇 管理学
- 178 篇 管理科学与工程(可...
- 97 篇 图书情报与档案管...
- 87 篇 工商管理
61 篇 医学
- 50 篇 基础医学(可授医学...
- 43 篇 临床医学
35 篇 经济学
- 35 篇 应用经济学
27 篇 法学
20 篇 农学
18 篇 教育学
8 篇 文学
3 篇 军事学
3 篇 艺术学
1 篇 历史学

主题

689 篇 predictive model...
200 篇 data models
157 篇 accuracy
154 篇 analytical model...
146 篇 computational mo...
143 篇 software
116 篇 software enginee...
106 篇 training
99 篇 prediction algor...
96 篇 machine learning
79 篇 feature extracti...
72 篇 deep learning
71 篇 adaptation model...
64 篇 neural networks
56 篇 machine learning...
52 篇 support vector m...
51 篇 mathematical mod...
47 篇 mathematical mod...
47 篇 forecasting
46 篇 optimization

机构

11 篇 ku leuven depart...
10 篇 chitkara univers...
9 篇 dmms core lab fl...
8 篇 faculty of elect...
5 篇 beijing advanced...
5 篇 nanjing univ sta...
5 篇 school of mechan...
5 篇 school of comput...
4 篇 college of compu...
4 篇 school of comput...
4 篇 computer science...
4 篇 university of ch...
4 篇 univ southampton...
4 篇 school of softwa...
4 篇 school of electr...
3 篇 college of elect...
3 篇 college of infor...
3 篇 school of comput...
3 篇 school of electr...
3 篇 department of ci...

作者

9 篇 menzies tim
8 篇 hall tracy
8 篇 bowes david
7 篇 staron miroslaw
6 篇 yang zhang
5 篇 desmet w.
5 篇 chen chen
5 篇 gang liu
5 篇 biffl stefan
4 篇 tamarozzi t.
4 篇 ashkan safari
4 篇 petric jean
4 篇 hamed kheirandis...
4 篇 jose rodriguez
4 篇 bener ayse
4 篇 bériot h.
4 篇 winkler dietmar
4 篇 rahul chauhan
4 篇 atak o.
4 篇 bencomo nelly

语言

2,437 篇 英文
68 篇 其他
13 篇 中文
1 篇 俄文
1 篇 土耳其文

检索条件"任意字段=Proceedings of the 9th International Conference on Predictive Models in Software Engineering"

共 2518 条记录，以下是2231-2240 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：

Error-Resilience of TCP-Friendly Video Transmission over Wireless Channel

Error-Resilience of TCP-Friendly Video Transmission over Wir...

引用

international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Ghaida A. Al-Suhail Naoki Wakamiya Raad S. Fyath Computer Engineering Department College of Engineering Basrah University Basrah Iraq Graduate School of Information Science and Technology Osaka University Osaka Japan Laser and Optoelectronic Department College of Engineering Nahrain University Baghdad Iraq

the paper investigates TCP-friendly video streaming over wireless channel using forward-error-correction (FEC). A FEC scheme is used as an intra-protection control based on Hamming code. Coded BPSK scheme is applied over AWGN wireless channel to be robust against frequent packet loss. For this purpose, we propose variable frame rate based on TCP-friendly rate control (VFR-TCP) model. the model estimates the predicted frame rate for MPEG video streaming. Quality of service (QoS) is also accounted for the predicted quantizer scale Q if the network throughput is assumed to be equal the available bandwidth. Simulation results show that the VFR-TCP model increases tolerance to packet loss due to channel bit errors and achieves a good quality

关键词： Streaming media Forward error correction Quality of service AWGN Error correction Videoconference predictive models Bandwidth Bit error rate Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Modelling Large Scale Autonomous Systems

Modelling Large Scale Autonomous Systems

引用

international conference on Information Fusion

作者： Erol Gelenbe Yu Wang Department of Electrical & Electronic Engineering Imperial College London London UK

ISBN: (纸本)1424409535

Many large scale autonomous systems based on a large number of interacting agents in a structured physical environment have emerged in diverse areas such as biology, ecology or finance. Inspired by the desire to better understand and make the best out of such systems, we model them in order to gain insight, predict the future and control it partially if not fully. In this paper, we present a stochastic approach to modeling such systems based on G-networks. We propose two methods which deal with cases where complete or incomplete world knowledge is available. We use strategic military planning in urban scenarios as an example to demonstrate our approach. Our results suggest that this approach tackles the problem of modeling autonomous systems at low computational cost. Apart from offering numerical estimates of various outcomes, the approach helps us identify the parameters or characteristics that have the greatest impact on the system most and allows us to compare alternative strategies

关键词： Large-scale systems Biological system modeling Systems biology Environmental factors Finance predictive models Stochastic systems Military computing Strategic planning Urban planning

来源：评论

学校读者我要写书评

暂无评论

A Clustering-Based Bounded-Error Approach for Identification of PWA Hybrid Systems

A Clustering-Based Bounded-Error Approach for Identification...

引用

international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： M. Tabatabaei-Pour M. Gholami K. Salahshoor H. R. Shaker Department of Automation and Instrumentation Petroleum University of Technology Tehran Iran Department of Electrical Engineering Shahid Beheshti University Kerman Iran

A new bounded-error approach for the identification of discrete time hybrid systems in the piece-wise affine (PWA) form is introduced. the PWA identification problem involves the estimation of the number of affine submodels, the parameters of affine submodels and the partition of the PWA map from data. By imposing a bound on the identification error, we formulate the PWA identification problem as a MIN PFS problem (partition into a minimum number of feasible subsystems) and propose a greedy clustering-based method for tackling it. the proposed approach yields to better results than the greedy randomized relaxation algorithm used in previous methods. Also, it is not sensitive to the overestimation of model orders and changes in the tuning parameters and therefore finding a right combination of the tuning parameters of the algorithm to get a model with prescribed bounded prediction error is simple

关键词： Clustering algorithms predictive models Automation Instruments Petroleum Partitioning algorithms Nonlinear equations Logic Control system synthesis Bayesian methods

来源：评论

学校读者我要写书评

暂无评论

Use of Instance Typicality for Efficient Detection of Outliers with Neural Network Classifiers

Use of Instance Typicality for Efficient Detection of Outlie...

引用

international conference on Information Technology (ICIT)

作者： Shirish S. Sane Ashok A. Ghatol Department of Computer Engineering Pune Institute of Engineering and Technology Pune Maharashtra India Dr.슠Babasaheb Ambedkar Technological University Maharashtra India

Detection of outliers is one of the data pre-processing tasks. In all the applications, outliers need to be detected to enhance the accuracy of the classifiers. Several different techniques, such as statistical, distance-based and deviation-based outlier detection exist to detect outliers. Many of these techniques use filter method. A wrapper method using the concept of instance typicality may also be used to detect outliers. this paper deals with a new wrapper method that builds an initial model using neural networks and treats values at the output of neurons in the output layer as the typicality scores. Instances with lowest output values are treated as potential outliers. In addition, the method is also useful to build compact and accurate classifiers by selecting a few most typical instances resulting in significant reduction in storage space. the method is generic and thus can also be used for instance selection with any kind of classifiers. Resultant compact models are useful for imputation of missing values.

关键词： Neural networks Data mining Data engineering Space technology Supervised learning Statistical analysis Computer networks Application software Filters Neurons

来源：评论

学校读者我要写书评

暂无评论

Predicting the Stock Market using Multiple models

Predicting the Stock Market using Multiple Models

引用

international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： C. Xiang W. M. Fu Department of Electrical and Computer Engineering National University of Singapore Singapore

Stock market prediction has always been, in the past and at present, an intriguing issue. In this paper, an attempt is made at predicting the Standard & Poor9;s (S&P) 500 returns on a daily and weekly basis... 详细信息

Stock market prediction has always been, in the past and at present, an intriguing issue. In this paper, an attempt is made at predicting the Standard & Poor's (S&P) 500 returns on a daily and weekly basis by using only historical price data. Two different types of prediction models are used for the prediction task: the auto-regressive (AR) and the neural network (NN) models. these two models are used in four different prediction systems. the first two prediction systems consist of either an AR model or a NN model. the next two prediction systems represent the novelty of the approach used in this paper. A multiple-model approach is proposed, together with the use of a trend classification algorithm, to predict the S&P 500 returns. three models (either AR or NN) are used in each of the systems, with each model used to represent one of the three market trends (bear, choppy and bull). A decision rule is used to select one prediction from the three models, and one of two trading rules is used to make trading decisions. three experiments were carried out to select appropriate parameters for the three-model systems. Evaluation of the models based on ARR after commission showed that the system consisting of three NNs was able to obtain approximately two times as much return as the buy-and-hold strategy in the test period when used in weekly predictions. Furthermore, the results in this paper show that non-linear systems performed better than linear ones, and three-model systems performed better than single-model ones

关键词： Stock markets predictive models Neural networks Classification algorithms Prediction algorithms System testing Cost accounting Multivariate regression Economic indicators Exchange rates

来源：评论

学校读者我要写书评

暂无评论

Game theoretic Approach to threat Prediction and Situation Awareness

Game Theoretic Approach to Threat Prediction and Situation A...

引用

international conference on Information Fusion

作者： Genshe Chen Dan Shen Chiman Kwan Jose B. Cruz Martin Kruger Intelligent Automation Inc. Rockville MD USA Department of Electrical and Computer Engineering Ohio State Uinversity Columbus OH USA Office of Naval Research Arlington VA USA

ISBN: (纸本)1424409535

the strategy of data fusion has been applied in threat prediction and situation awareness and the terminology has been standardized by the Joint Directors of Laboratories (JDL) in the form of a so-called JDL data fusion model, which currently called DFIG model. Higher levels of the DFIG model call for prediction of future development and awareness of the development of a situation. It is known that Bayesian network is an insightful approach to determine optimal strategies against asymmetric adversarial opponent. However, it lacks the essential adversarial decision processes perspective. In this paper, a highly innovative data-fusion framework for asymmetric-threat detection and prediction based on advanced knowledge infrastructure and stochastic (Markov) game theory is proposed. In particular, asymmetric and adaptive threats are detected and grouped by intelligent agent and hierarchical entity aggregation in level 2 and their intents are predicted by a decentralized Markov (stochastic) game model with deception in level 3. We have verified that our proposed algorithms are scalable, stable, and perform satisfactorily according to the situation awareness performance metric

关键词： Game theory predictive models Stochastic processes Intelligent agent Data security Information security Force sensors Automation Terminology Bayesian methods

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Markov Model Based on EM Algorithm

A Hybrid Markov Model Based on EM Algorithm

引用

international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： Xue-gang Yu Yan-heng Liu Da Wei Ling-yin Lei Key laboratory of symbolic computation and knowledge Engineering of ministry of education Jilin University Beijing China

Order-k Markov model can be used in many fields such as natural language understanding, coding, mobile path prediction and so on to make prediction and then control. But the model has to face the problem of state space expansion. Taking the mobile path prediction as the research background, the paper firstly proposes a step-k Markov model and validates its feasibility. Secondly, a hybrid Markov predictor model is put forward based on the step-k Markov model. the complexity of the hybrid Markov model is O(N) while the order-k Markov model is O(N 2 ). And the memory demand of the hybrid Markov model is O(N 2 ) while order-k Markov model is O(N 3 ). Finally, it is proved that the hybrid Markov predictor can get close performance with order-k Markov predictor at much lower expense by conditional entropy analysis and user mobility data analysis. Also it can alleviate the zero probability problem in order-k Markov model to some extent. the hybrid Markov predictor is more practical than order-k Markov predictor under WLAN

关键词： predictive models State-space methods Entropy Mobile computing Wireless LAN Natural languages Accuracy Wireless networks Educational institutions Equations

来源：评论

学校读者我要写书评

暂无评论

Stock Market Price Prediction using Cyclic Self-Organizing Hierarchical CMAC

Stock Market Price Prediction using Cyclic Self-Organizing H...

引用

international conference on Control, Automation, Robotics and Vision (ICARCV)

作者： M.N. Nguyen U. Omkar D. Shi J.B. Hayfron-Acquah School of Computer Engineering Nanyang Technological University Singapore Department of Computer Science Kwame Nkrumah University of Science and Technology Kumasi Ghana

this paper analyses stock market price prediction based on a hierarchical cerebellar model arithmetic controller (HCMAC) neural network. Applications using stock market price prediction tools are required to be adaptive to new incoming data as well as have fast learning capabilities. Current popular neural networks are based on the Multi Layer Perceptron (MLP) structure which has low memory consumption and has a fast processing speed however the performance of the MLP deteriorates as the network expands. An HCMAC structure uses a direct memory mapping technique which would perform consistently fast independent of size of network. the drawback is a huge amount of memory is required to perform direct mapping. this can be reduced by using self-organizing techniques to optimize the clusters during each training cycle. the accuracy of the output can be controlled based on the values set in the cyclic self-organizing module. the cyclic self-organizing HCMAC (CSOHCMAC) combines both the HCMAC and cyclic self-organizing modules to create a neural network model that would be robust and fast as well as flexible to adapt to changes

关键词： Stock markets Neural networks Data mining predictive models Information analysis Glass Data analysis Internet Pattern analysis Algorithm design and analysis

来源：评论

学校读者我要写书评

暂无评论

Determining the variation degree of feature models

Determining the variation degree of feature models

引用

9th international software Product Lines conference (SPLC 2005)

作者： von der Massen, T Lichter, H Rhein Westfal TH Aachen Res Grp Software Construct D-5100 Aachen Germany

When developing a product line the knowledge about the variation degree is of vital importance for development, maintenance and evolution of a product line. In this paper we focus on the variation degree of product li... 详细信息

ISBN: (纸本)3540289364

关键词： software engineering

来源：评论

学校读者我要写书评

暂无评论

Predictor models in software engineering (PROMISE) 05

Predictor Models in Software Engineering (PROMISE)

引用

27th international conference on software engineering, ICSE 2005

作者： Shirabad, Jelber Sayyad Menzies, Tim University of Ottawa Canada Portland State University

No abstract available

ISBN: (纸本)9781581139631

No abstract available

关键词： predictive software models data mining machine learning software engineering empirical studies

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252页 << < 220 221 222 223 224 225 226 227 228 229 > >>

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：