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

237 篇 会议
7 篇 期刊文献
3 册 图书

馆藏范围

247 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

216 篇 工学
- 210 篇 计算机科学与技术...
- 53 篇 软件工程
- 16 篇 信息与通信工程
- 16 篇 生物工程
- 14 篇 控制科学与工程
- 11 篇 生物医学工程（可授...
- 6 篇 机械工程
- 6 篇 电气工程
- 5 篇 仪器科学与技术
- 5 篇 交通运输工程
- 3 篇 建筑学
- 2 篇 力学（可授工学、理...
- 2 篇 光学工程
- 2 篇 材料科学与工程（可...
- 2 篇 电子科学与技术（可...
47 篇 理学
- 32 篇 数学
- 17 篇 生物学
- 14 篇 统计学（可授理学、...
- 7 篇 物理学
- 3 篇 化学
- 3 篇 系统科学
25 篇 管理学
- 14 篇 管理科学与工程(可...
- 14 篇 图书情报与档案管...
- 11 篇 工商管理
9 篇 医学
- 9 篇 基础医学(可授医学...
- 9 篇 临床医学
- 8 篇 药学(可授医学、理...
5 篇 法学
- 5 篇 社会学
2 篇 经济学
- 2 篇 应用经济学
2 篇 教育学
- 2 篇 教育学

主题

19 篇 machine learning
16 篇 data mining
13 篇 learning systems
10 篇 deep learning
4 篇 pattern recognit...
3 篇 fuzzy sets
3 篇 object detection
3 篇 reinforcement le...
3 篇 support vector m...
3 篇 database systems
3 篇 dimensionality r...
3 篇 face recognition
3 篇 sparse represent...
3 篇 evolutionary alg...
3 篇 decision trees
3 篇 feature extracti...
3 篇 classification
3 篇 federated learni...
3 篇 artificial intel...
3 篇 convolutional ne...

机构

5 篇 univ e anglia sc...
4 篇 univ tours lab i...
3 篇 global univ dept...
3 篇 univ east anglia...
3 篇 univ bath sch ma...
3 篇 univ calgary dep...
2 篇 nanjing normal u...
2 篇 department of co...
2 篇 department of au...
2 篇 government colle...
2 篇 university of ma...
2 篇 ostfalia univ ap...
2 篇 aditya college o...
2 篇 university of ea...
2 篇 amity university...
2 篇 department of co...
2 篇 univ london roya...
2 篇 improved med dia...
2 篇 univ e anglia no...
2 篇 univ coimbra dep...

作者

7 篇 wang wenjia
5 篇 bagnall anthony
4 篇 silva catarina
4 篇 yin hujun
3 篇 alhajj reda
3 篇 ben amar chokri
3 篇 krause andreas
3 篇 miura takao
3 篇 shioya isamu
3 篇 julian vicente
3 篇 zaied mourad
3 篇 mihaescu marian ...
3 篇 ribeiro bernarde...
2 篇 lechner werner
2 篇 lebrun g.
2 篇 zwir i.
2 篇 lebrun gilles
2 篇 zheng rong yang
2 篇 fdez-riverola fl...
2 篇 de la iglesia be...

语言

242 篇 英文
3 篇 其他
2 篇 中文

检索条件"任意字段=7th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2006"

共 247 条记录，以下是1-10 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：

intelligent data engineering and automated learning, ideal 2006 - 7th international conference, Proceedings

引用

7th international conference on intelligent data engineering and automated learning, ideal 2006

ISBN: (纸本)3540454853

the proceedings contain 170 papers. the topics discussed include: on some of the neural mechanisms underlying adaptive behavior;on correlation measures of intuitionistic fuzzy sets;a more effective constructive algorithm for permutation flow shop problem;a fast algorithm for relevance vector machine;time series relevance determination through a topology-constrained hidden Markov model;a fast data processing procedure for support vector regression;classification by weighting, similarity and kNN;an improved EM algorithm for statistical segmentation of brain MRI;process state and progress visualization using self-organizing map;comparing support vector machines and feed-forward neural networks with similar parameters;a new model selection method for SVM;integration of strategies based on relevance feedback into a tool for the retrieval of mammographic images;and generalization performance of exchange Monte Carlo method for normal mixture models.

关键词： learning systems

来源：评论

学校读者我要写书评

暂无评论

Multilayered Asynchronous Consensus-Based Federated learning (MACoFL) 25th

Multilayered Asynchronous Consensus-Based Federated Learning...

引用

25th international conference on intelligent data engineering and automated learning

作者： Rebollo, Miguel Carrascosa, Carlos Univ Politec Val encia Valencian Res Inst Artificial Intelligence VRAIN Valencia Spain

ISBN: (纸本)9783031777370;9783031777387

Federated learning is one of the main research lines in the last years about distributed learning, where participating nodes share their models but maintain the privacy of the data used to learn such models. Consensus is a way of calculating a mean value between a set of agents using only information from the local neighbors. this paper presents a new approach based on Asynchronous Consensus, called Multi-layered Asynchronous Consensus-based Federated learning (MACoFL). It randomly chooses a neighbor and a layer from the neural model and interchanges it with him. this new algorithm is presented and tested using the MNIST dataset.

关键词： Federated learning multi-agent systems consensus

来源：评论

学校读者我要写书评

暂无评论

What Students Should Learn and Teachers Must Know About Artificial Intelligence 25th

What Students Should Learn and Teachers Must Know About Arti...

引用

25th international conference on intelligent data engineering and automated learning

作者： Opel, Simone Linxen, Andrea Beecks, Christian Fern Univ Hagen D-58097 Hagen Germany

ISBN: (纸本)9783031777370;9783031777387

Systems based on artificial intelligence have become prominent in nearly all domains. However, knowledge of the inner workings of these intelligent systems is not as widespread, partly because the associated issues have been discussed only to a limited extent in computer science education. In order to gain an overview of AI in curricula and to see what competencies teachers need to teach this content, the AIrelated content of the computer science curricula of the German federal states was analysed and compared with existing approaches. Proposals for further training courses are derived from this to enable teachers to teach AI competently.

关键词： Curriculum AI Secondary School Teacher Education learning Students Further Education Curriculum Analysis

来源：评论

学校读者我要写书评

暂无评论

Hotel's Price Prediction Based on Country Specific data 25th

Hotel's Price Prediction Based on Country Specific Data

引用

25th international conference on intelligent data engineering and automated learning

作者： Balan, Andrei Popescu, Paul Stefan Mihaescu, Marian Cristian Univ Craiova Craiova Romania

ISBN: (纸本)9783031777370;9783031777387

Online hotel booking became increasingly popular as time passed, and with its popularity, the data that can be collected based on customer actions has increased. this data can serve to build intelligent systems that can provide knowledge for both customers and hotel owners. In this paper, we focus on hotel owners who can benefit from the collected data by adjusting the prices to optimise the profit of their accommodations. To accomplish this, we built a system that collected the data from *** and gathered a helpful dataset for price prediction. We used five regression algorithms and an optimization technique to obtain the best results, leading us to a 9% error for price prediction. this result allows accommodation owners to predict the room price to keep the rooms fully occupied.

关键词： price prediction linear regression optimization

来源：评论

学校读者我要写书评

暂无评论

An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes 25th

An Ontology-Lexicon-Driven Approach for Refining Sentiment A...

引用

25th international conference on intelligent data engineering and automated learning

作者： Toldy, Francisco Belo, Orlando Univ Minho ALGORITMI Res Ctr LASI P-4710059 Braga Portugal

ISBN: (纸本)9783031777370;9783031777387

the high number of sentiment analysis systems and applications developed over the last few years provided companies with very sophisticated analysis tools, allowing them to establish preferences, trends and patterns of customer behavior. this is quite important for companies intending to change their way of being, promoting work actions aimed at specific customer segments, to obtain business advantages and improve their image and performance in the market in which they work. In this paper, we present and describe a sentiment analysis system that combine techniques based on ontologies and domain lexicons, to provide relevant indicators to support the evaluation of the degree of user satisfaction and know the influence of each ontological element incorporated in opinion texts in sentiment classification.

关键词： Sentiment Analysis Opinion Analysis Ontologies Lexical Classification data Preparation Tagging Texts Marketing Applications

来源：评论

学校读者我要写书评

暂无评论

Smart Sign Language Decoder 25th

Smart Sign Language Decoder

引用

25th international conference on intelligent data engineering and automated learning

作者： Costescu, Constantin Marius Popescu, Paul Stefan Mihaescu, Marian Cristian Univ Craiova Fac Automat Comp Sci & Elect Craiova Romania

ISBN: (纸本)9783031777370;9783031777387

Sign language recognition and understanding are challenging tasks for many people who are not familiar with it, which limits communication between deaf-mute people and others. the system presented in this paper lowers the communication barrier, introducing an automatic translation layer that facilitates sign language understanding. the system uses a deep-learning model for sign language detection and a separate library for hand joint mapping. the application's architecture was designed to allow users to access the system from desktop and mobile devices. the model's results revealed an 82% accuracy, and after several tweaks on the activation function in our tests, we achieved perfect classification in our real word tests. the results of the system offered excellent accuracy, and its usability lowers the communication barrier between people, providing flexibility as the application is available for any device with a browser.

关键词： Sign Language Recognition deep learning dataset

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Federated learning Algorithms Based on SPADE Agents 25th

Comparative Study of Federated Learning Algorithms Based on ...

引用

25th international conference on intelligent data engineering and automated learning

作者： Enguix, Francisco Peris, Saul Cerda Rincon, J. A. Carrascosa, C. Univ Politec Valencia UPV Valencian Res Inst Artificial Intelligence VRAIN Camino Vera S-N Valencia 46022 Spain Univ Burgos Dept Digitalizac Escuela Politec Super Ctra Oron 28 Burgos 09200 Spain

ISBN: (纸本)9783031777370;9783031777387

Federated learning (FL) is a prominent method in machine learning, that ensures privacy by enabling distributed devices to collaboratively learn a shared model without exchanging local data. this paper provides a comparative analysis of various FL algorithms implemented on the Smart Python Agent Development Environment (SPADE) framework. We focus on evaluating the performance, scalability, and resilience of these algorithms across different network setups and data distribution scenarios. Our results highlight the differential impacts of decentralized versus centralized approaches, particularly under non-IID data conditions, common in real-world applications. By leveraging SPADE agents and consensus algorithms, this study not only tests algorithmic efficiency and system robustness but also explores advanced strategies like asynchronous updates and coalition-based learning, which show promise in enhancing model accuracy and reducing communication overhead.

关键词： Federated learning Multi-agent systems Consensus

来源：评论

学校读者我要写书评

暂无评论

A New dataset for Analyzing Battery Failures in Wheelchairs 25th

A New Dataset for Analyzing Battery Failures in Wheelchairs

引用

25th international conference on intelligent data engineering and automated learning

作者： Manzolli, William M. Rickes, Tiago B. Lucca, Giancarlo Oliveira, Lizandro de Souza Yamin, Adenauer Correa Univ Catolica Pelotas Ctr Ci encias Sociais Tecnol Mestrado Engenharia Eletron & Comp Pelotas RS Brazil Univ Fed Pelotas Pelotas RS Brazil

ISBN: (纸本)9783031777370;9783031777387

this study addresses battery failure in motorized wheel chairs, which are essential for the mobility of individuals with disabilities. the main objective was to concept a comprehensive dataset comprising six attributes that directly impact battery life, consisting of 498 instances. Using the Random Forest algorithm, we demonstrate the ability to accurately predict battery failures. the results highlight the necessity for proactive measures to prevent battery degradation and extend its lifespan.

关键词： data Repository Machine learning Deep learning Model sharing data Symbion EI

来源：评论

学校读者我要写书评

暂无评论

data Analysis and Anomaly Detection in a Wind Farm with k-Nearest Neighbors 25th

Data Analysis and Anomaly Detection in a Wind Farm with k-Ne...

引用

25th international conference on intelligent data engineering and automated learning

作者： Weiss, Bassel Esteban, Segundo Santos, Matilde Univ Complutense Madrid Dpto Arquitectura Computadores Automat Madrid 28040 Spain UCM Inst Knowledge Technol Madrid 28040 Spain

ISBN: (纸本)9783031777370;9783031777387

this paper presents an in-depth analysis of data from the Alpha Ventus offshore wind farm, emphasizing the identification and detection of anomalies in wind turbine performance. Utilizing real-world data from the RAVE (Research at Alpha Ventus) project, we explore the complexities of offshore wind energy generation, including the effects of wind speed, nacelle position, and environmental factors on turbine behaviour. In this paper, among the various machine learning techniques, we have selected k-nearest neighbours (k-NN), to identify patterns and detect anomalies indicative of potential issues. Our findings demonstrate that some turbines of the wind farm, centrally located, are subject to significant wake effects and operational irregularities. By adjusting the parameters of the k-NN model, we achieved an anomaly detection framework, enhancing the reliability of turbine operation and maintenance.

关键词： Offshore wind energy Anomaly detection Wind turbine data analytics Machine learning K-nearest neighbours Predictive maintenance

来源：评论

学校读者我要写书评

暂无评论

Noise Tolerance and Robustness Ranking in Machine learning Models 25th

Noise Tolerance and Robustness Ranking in Machine Learning M...

引用

25th international conference on intelligent data engineering and automated learning

作者： Padro-Ferragut, Cristina Ramirez-Quintana, Maria Jose Martinez-Plumed, Fernando Univ Politecn Valencia Valencia Spain

ISBN: (纸本)9783031777370;9783031777387

Machine learning models often excel in controlled environments but may struggle with noisy, incomplete, or shifted real-world data. Ensuring that these models maintain high performance despite these imperfections is crucial for practical applications, such as medical diagnosis or autonomous driving. this paper introduces a novel framework to systematically analyse the robustness of Machine learning models against noisy data. We propose two empirical methods: (1) Noise Tolerance Estimation, which calculates the noise level a model can withstand without significant degradation in performance, and (2) Robustness Ranking, which ranks Machine learning models by their robustness at specific noise levels. Utilizing Cohen's kappa statistic, we measure the consistency between a model's predictions on original and perturbed datasets. Our methods are demonstrated using various datasets and Machine learning techniques, identifying models that maintain reliability under noisy conditions.

关键词： Model robustness Noise in data Machine learning Cohen's kappa Performanceevaluation

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25页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：