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

50 篇 会议
3 篇 期刊文献

馆藏范围

53 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

43 篇 工学
- 30 篇 计算机科学与技术...
- 13 篇 软件工程
- 8 篇 生物工程
- 7 篇 生物医学工程（可授...
- 6 篇 信息与通信工程
- 3 篇 电气工程
- 3 篇 化学工程与技术
- 1 篇 力学（可授工学、理...
- 1 篇 光学工程
- 1 篇 仪器科学与技术
- 1 篇 动力工程及工程热...
- 1 篇 水利工程
- 1 篇 核科学与技术
- 1 篇 环境科学与工程（可...
- 1 篇 安全科学与工程
38 篇 理学
- 23 篇 生物学
- 14 篇 数学
- 5 篇 物理学
- 4 篇 统计学（可授理学、...
- 3 篇 化学
- 1 篇 系统科学
12 篇 医学
- 11 篇 基础医学(可授医学...
- 1 篇 临床医学
- 1 篇 药学(可授医学、理...
6 篇 管理学
- 4 篇 图书情报与档案管...
- 2 篇 管理科学与工程(可...
- 2 篇 工商管理
1 篇 经济学
- 1 篇 应用经济学
1 篇 法学
- 1 篇 社会学
1 篇 农学
- 1 篇 作物学

主题

5 篇 pattern recognit...
2 篇 database systems
2 篇 computational ef...
2 篇 pattern matching
2 篇 syntactic patter...
2 篇 discriminant ana...
2 篇 classification
2 篇 forecasting
2 篇 non-negative mat...
1 篇 fragment substru...
1 篇 motion estimatio...
1 篇 segmentation
1 篇 time-series data
1 篇 similarity measu...
1 篇 image acquisitio...
1 篇 dna microarray i...
1 篇 clustering
1 篇 turbo similarity...
1 篇 water quality
1 篇 abdominal adhesi...

机构

4 篇 univ windsor sch...
2 篇 kluyver centre f...
2 篇 school of comput...
2 篇 university of su...
1 篇 uam-azcapotzalco...
1 篇 department of bi...
1 篇 univ windsor sch...
1 篇 dga/d4s/mris
1 篇 john innes ctr d...
1 篇 school of comput...
1 篇 tokyo institute ...
1 篇 department of el...
1 篇 bioinformatics a...
1 篇 dalle molle inst...
1 篇 university of so...
1 篇 université paris...
1 篇 carleton univ sc...
1 篇 univ concepcion ...
1 篇 department of el...
1 篇 netherlands canc...

作者

9 篇 ngom alioune
5 篇 rueda luis
4 篇 li yifeng
3 篇 de ridder dick
3 篇 kittler josef
2 篇 loog marco
2 篇 jain anil k.
2 篇 messer kieron
2 篇 bengio samy
1 篇 vandendorpe l.
1 篇 cataltepe zehra
1 篇 kashima hisashi
1 篇 arif shereena m.
1 篇 cardinaux f.
1 篇 sokolova marina ...
1 篇 matas jiri
1 篇 mominul aziz md.
1 篇 bimbot frédéric
1 篇 garate carolina
1 篇 walsh ian

语言

53 篇 英文

检索条件"任意字段=4th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2009"

共 53 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：

pattern recognition in bioinformatics - 4th iapr international conference, prib 2009, Proceedings

Pattern Recognition in Bioinformatics - 4th IAPR Internation...

引用

4th iapr international conference on pattern recognition in bioinformatics, prib 2009

ISBN: (纸本)3642040306

the proceedings contain 38 papers. the topics discussed include: evolutionary parameters in sequence families: cold adaptation of enzymes;MProfiler: a profile-based method for DNA motif discovery;on utilizing optimal and information theoretic syntactic modeling for peptide classification;multiclass microarray gene expression analysis based on mutual dependency models;an efficient convex nonnegative network component analysis for gene regulatory network reconstruction;using higher-order dynamic Bayesian networks to model periodic data from the circadian clock of Arabidopsis thaliana;syntactic pattern recognition using finite inductive strings;evidence-based clustering of reads and taxonomic analysis of metagenomic data;and avoiding spurious feedback loops in the reconstruction of gene regulatory networks with dynamic Bayesian networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Diagnose the Premalignant Pancreatic Cancer Using High Dimensional Linear Machine

Diagnose the Premalignant Pancreatic Cancer Using High Dimen...

引用

7th international-Association-for-pattern-recognition (iapr) international conference on pattern recognition in bioinformatics (prib)

作者： Li, Yifeng Ngom, Alioune Univ Windsor Sch Comp Sci Windsor ON N9B 3P4 Canada

ISBN: (纸本)9783642341236

High throughput mass spectrometry technique has been extensively studied for the diagnosis of cancers. the detection of the pancreatic cancer at a very early stage is important to heal patients, but is very difficult due to biological and computational challenges. this paper proposes a simple classification approach which can be applied to the premalignant pancreatic cancer detection using mass spectrometry technique. Computational experiments show that our method outperforms the benchmark methods in accuracy and sensitivity without resorting to any biomarker selection, and the comparison with previous works shows that our method can obtain competitive performance.

关键词： mass spectrometry pancreatic cancer classification high dimensional linear machine

来源：评论

学校读者我要写书评

暂无评论

Bayesian optimization algorithm for the non-unique oligonucleotide probe selection problem

Bayesian optimization algorithm for the non-unique oligonucl...

引用

4th iapr international conference on pattern recognition in bioinformatics, prib 2009

作者： Soltan Ghoraie, Laleh Gras, Robin Wang, Lili Ngom, Alioune Bioinformatics and PRML Lab Department of Computer Science University of Windsor 401 Sunset Ave. Windsor ON N9B 3P4 Canada

ISBN: (纸本)3642040306

DNA microarrays are used in order to recognize the presence or absence of different biological components (targets) in a sample. therefore, the design of the microarrays which includes selecting short Oligonucleotide sequences (probes) to be affixed on the surface of the microarray becomes a major issue. this paper focuses on the problem of computing the minimal set of probes which is able to identify each target of a sample, referred to as Non-unique Oligonucleotide Probe Selection. We present the application of an Estimation of Distribution Algorithm (EDA) named Bayesian Optimization Algorithm (BOA) to this problem, for the first time. the presented approach considers integration of BOA and state-of-the-art heuristics introduced for the non-unique probe selection problem. this approach provides results that compare favorably with the state-of-the-art methods. It is also able to provide biologists with more information about the dependencies between the probe sequences of each dataset. © 2009 Springer Berlin Heidelberg.

关键词： Probes

来源：评论

学校读者我要写书评

暂无评论

A Framework of Gene Subset Selection Using Multiobjective Evolutionary Algorithm

A Framework of Gene Subset Selection Using Multiobjective Ev...

引用

7th international-Association-for-pattern-recognition (iapr) international conference on pattern recognition in bioinformatics (prib)

作者： Li, Yifeng Ngom, Alioune Rueda, Luis Univ Windsor Sch Comp Sci Windsor ON N9B 3P4 Canada

ISBN: (纸本)9783642341236

Microarray gene expression technique can provide snap shots of gene expression levels of samples. this technique is promising to be used in clinical diagnosis and genomic pathology. However, the curse of dimensionality and other problems have been challenging researchers for a decade. Selecting a few discriminative genes is an important choice. But gene subset selection is a NP hard problem. this paper proposes an effective gene selection framework. this framework integrates gene filtering, sample selection, and multiobjective evolutionary algorithm (MOEA). We use MOEA to optimize four objective functions taking into account of class relevance, feature redundancy, classification performance, and the number of selected genes. Experimental comparison shows that the proposed approach is better than a well-known recursive feature elimination method in terms of classification performance and time complexity.

关键词： gene selection sample selection non-negative matrix factorization multiobjective evolutionary algorithm

来源：评论

学校读者我要写书评

暂无评论

Logol: Expressive pattern Matching in Sequences. Application to Ribosomal Frameshift Modeling

Logol: Expressive Pattern Matching in Sequences. Application...

引用

9th iapr international conference on pattern recognition in bioinformatics (prib)

作者： Belleannee, Catherine Sallou, Olivier Nicolas, Jacques Univ Rennes 1 Irisa Inria F-35042 Rennes France

ISBN: (纸本)9783319091921;9783319091914

Most of the current practice of pattern matching tools is oriented towards finding efficient ways to compare sequences. this is useful but insufficient: as the knowledge and understanding of some functional or structural aspects of living systems improve, analysts in molecular biology progressively shift from mere classification tasks to modeling tasks. People need to be able to express global sequence architectures and check various hypotheses on the way their sequences are structured. It appears necessary to offer generic tools for this task, allowing to build more expressive models of biological sequence families, on the basis of their content and structure. this article introduces Logol, a new application designed to achieve pattern matching in possibly large sequences with customized biological patterns. Logol consists in both a language for describing patterns, and the associated parser for effective pattern search in sequences (RNA, DNA or protein) with such patterns. the Logol language, based on an high level grammatical formalism, allows to express flexible patterns (with mispairings and indels) composed of both sequential elements (such as motifs) and structural elements (such as repeats or pseudoknots). Its expressive power is presented through an application using the main components of the language : the identification of -1 programmed ribosomal frameshifting (PRF) events in messenger RNA sequences. Logol allows the design of sophisticated patterns, and their search in large nucleic or amino acid sequences. It is available on the GenOuest bioinformatics platform at http://***. the core application is a command-line application, available for different operating systems. the Logol suite also includes interfaces, e. g. an interface for graphically drawing the pattern.

关键词： Molecular biology

来源：评论

学校读者我要写书评

暂无评论

Audio- and video-based biometric person authentication: 4th international conference, AVBPA 2003 Guildford, UK, June 9-11, 2003 proceedings 4

引用

4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Kittler, Josef Nixon, Mark S. University of Surrey Center for Vision Speech and Signal Proc Guildford Surrey United Kingdom University of Southampton Department of Electronics and Computer Science Southampton United Kingdom

来源：评论

学校读者我要写书评

暂无评论

Versatile sparse matrix factorization and its applications in high-dimensional biological data analysis

Versatile sparse matrix factorization and its applications i...

引用

8th iapr international conference on pattern recognition in bioinformatics, prib 2013

作者： Li, Yifeng Ngom, Alioune School of Computer Science University of Windsor 401 Sunset Avenue Windsor ON N9B 3P4 Canada

ISBN: (纸本)9783642391583

Non-negative matrix factorization and sparse representation models have been successfully applied in high-throughput biological data analysis. In this paper, we propose our versatile sparse matrix factorization (VSMF) model for biological data mining. We show that many well-known sparse models are specific cases of VSMF. through tuning parameters, sparsity, smoothness, and non-negativity can be easily controlled in VSMF. Our computational experiments corroborate the advantages of VSMF. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Non-negative matrix factorization

来源：评论

学校读者我要写书评

暂无评论

pattern recognition and Image Analysis - 4th Iberian conference, IbPRIA 2009, Proceedings

Pattern Recognition and Image Analysis - 4th Iberian Confere...

引用

4th Iberian conference on pattern recognition and Image Analysis, IbPRIA 2009

ISBN: (纸本)3642021719

the proceedings contain 65 papers. the topics discussed include: inference and learning for active sensing, experimental design and control;large scale online learning of image similarity through ranking;inpainting ideas for image compression;smoothed disparity maps for continuous American sign language recognition;human action recognition using optical flow accumulated local histograms;trajectory modeling using mixtures of vector fields;high speed human detection using a multiresolution cascade of histograms of oriented gradients;face-to-face social activity detection using data collected with a wearable device;estimating vehicle velocity using Image profiles on rectified images;kernel based multi-object tracking using gabor functions embedded in a region covariance matrix;and autonomous configuration of parameters in robotic digital cameras.

关键词： Optical flows

来源：评论

学校读者我要写书评

暂无评论

Conditional random fields for protein function prediction

Conditional random fields for protein function prediction

引用

8th iapr international conference on pattern recognition in bioinformatics, prib 2013

作者： Gehrmann, thies Loog, Marco Reinders, Marcel J.T. De Ridder, Dick Delft Bioinformatics Lab Delft University of Technology Mekelweg 4 2628 CD Delft Netherlands Pattern Recognition Lab Delft University of Technology Mekelweg 4 2628 CD Delft Netherlands Netherlands Bioinformatics Centre P.O. Box 9101 6500 HB Nijmegen Netherlands Kluyver Centre for Genomics of Industrial Fermentation P.O. Box 5057 2600 GA Delft Netherlands

ISBN: (纸本)9783642391583

Markov Random Fields (MRF) have been shown to be good predictors of functional annotation, using protein-protein interaction data. Many other sources of data can also be used in this prediction task, but they are typically not *** this study, we extend a method using MRFs in order to allow the use of additional data. A conditional random field (CRF) model is proposed as an alternative to an MRF model in order to remove the requirement of modeling relationships between the sources of data. We observe that a substantial performance improvement is possible using additional data, such as genetic interaction networks. the improvement gained from each source of evidence is not the same for each protein function, indicating that each source supplies different information. We demonstrate that CRFs can be used to efficiently integrate various sources of data to predict functional annotations. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Syntactic pattern recognition Using Finite Inductive Strings

Syntactic Pattern Recognition Using Finite Inductive Strings

引用

4th international conference pattern recognition in bioinformatics

作者： Fisher, Paul Fisher, Howard Baek, Jinsuk Angaye, Cleopas Winston Salem State Univ Dept Comp Sci Winston Salem NC 27110 USA Fisher Co Salt Lake City UT 84054 USA Natl Informat Technol Dev Agency Abuja Nigeria

ISBN: (纸本)9783642040306

A syntactic pattern recognition technique is described based upon a mathematical principle associated with finite sequences of symbols. the technique allows for fast recognition of patterns within strings, including the ability to recognize expected symbols that are close to the desired symbols, and mutations as well as both local and global substring matching. this allowance of deviation permits sequences to be subject to error and still be recognized. Some examples are provided illustrating the technique.

关键词： pattern recognition finite inductive sequences syntactic pattern recognition genome recognition

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6页 << < 1 2 3 4 5 6 > >>

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：