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

56 篇 会议
2 篇 期刊文献
1 册 图书

馆藏范围

59 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

45 篇 工学
- 44 篇 计算机科学与技术...
- 15 篇 软件工程
- 4 篇 控制科学与工程
- 3 篇 电气工程
- 1 篇 机械工程
- 1 篇 信息与通信工程
- 1 篇 交通运输工程
- 1 篇 生物医学工程（可授...
6 篇 理学
- 6 篇 数学
- 2 篇 统计学（可授理学、...
2 篇 管理学
- 1 篇 管理科学与工程(可...
- 1 篇 图书情报与档案管...
1 篇 教育学
- 1 篇 教育学

主题

17 篇 logic programmin...
10 篇 inductive logic ...
6 篇 inductive logic ...
3 篇 learning systems
2 篇 computer circuit...
2 篇 data reduction
2 篇 robustness
1 篇 fuzzy sets
1 篇 fuzzy logic
1 篇 computational le...
1 篇 fake news
1 篇 performance
1 篇 corpus-based acq...
1 篇 meta-reasoning
1 篇 dynamical system...
1 篇 cancer
1 篇 subsumption unde...
1 篇 protein-carbohyd...
1 篇 bottlenose dolph...
1 篇 problem solving

机构

2 篇 katholieke univ ...
2 篇 department of co...
2 篇 natl inst inform...
1 篇 katholieke univ ...
1 篇 eurise universit...
1 篇 univ wisconsin d...
1 篇 mahsa univ sauja...
1 篇 imu univ saveeth...
1 篇 wright state uni...
1 篇 northeastern uni...
1 篇 bmw grp market f...
1 篇 ntt commun sci l...
1 篇 kings coll londo...
1 篇 inra ur1077 mig ...
1 篇 univ oxford comp...
1 篇 univ bari dipart...
1 篇 inria rennes cam...
1 篇 univ ferrara dip...
1 篇 liacc p-4150 opo...
1 篇 univ manchester ...

作者

3 篇 ferilli stefano
3 篇 esposito florian...
2 篇 basile teresa m....
2 篇 srinivasan a
2 篇 davis jesse
2 篇 camacho r
2 篇 denecker marc
2 篇 rocha ricardo
1 篇 inoue k
1 篇 riguzzi f
1 篇 theofrastos mant...
1 篇 nicolini c.
1 篇 sakama chiaki
1 篇 janssens g
1 篇 sasaki y
1 篇 hein bjoern
1 篇 greiner r
1 篇 ramon jan
1 篇 k nattar kannan
1 篇 alphonse é

语言

59 篇 英文

检索条件"任意字段=14th International Conference on Inductive Logic Programming, ILP 2004"

共 59 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：

inductive logic programming Based Bottlenose Delphin Optimization to Fake New Detection 14

Inductive Logic Programming Based Bottlenose Delphin Optimiz...

引用

14th Symposium on Computer Applications & Industrial Electronics (ISCAIE)

作者： thangarasu, Gunasekar Alla, Kesava Rao Kannan, K. Nattar IMU Univ Saveetha Inst Med & Tech Sci Saveetha Sch Engn Dept Digital Hlth & Hlth Informat Kuala Lumpur Malaysia MAHSA Univ Saujana Putra Selangor Malaysia Saveetha Inst Med & Tech Sci Saveetha Sch Engn Chennai Tamil Nadu India

ISBN: (纸本)9798350348798;9798350348804

the integration of inductive logic programming (ilp) and Bottlenose Dolphin Optimization (BDO) in this research addresses a pressing issue in today's information-saturated landscape: the proliferation of fake news. In an era where misleading information can spread rapidly, traditional methods often fall short in effectively identifying deceptive *** combat this challenge, our approach harnesses the synergies of ilp and BDO. ilp plays a crucial role in constructing logical rules that capture intricate relationships within news data. By doing so, it delves deep into the content, seeking out patterns and inconsistencies that may not be obvious at first glance. BDO, on the other hand, takes inspiration from the social behavior of bottlenose dolphins to optimize the process of generating these rules. Just as dolphins collaborate and communicate to solve complex problems, BDO helps refine the logical rules for better accuracy. Ultimately, this research underscores the potential of bio-inspired optimization, such as BDO, combined with the precision of logic programming (ilp) to strengthen the integrity of information dissemination platforms. In an age where the veracity of information is paramount, this innovative approach offers a promising solution to combat the spread of fake news and promote the dissemination of authentic, reliable information.

关键词： inductive logic programming Bottlenose Dolphin Optimization Fake News Detection Information Proliferation

来源：评论

学校读者我要写书评

暂无评论

Nominal Matching logic with Fixpoints 25

Nominal Matching Logic with Fixpoints

引用

14th conference on Certified Programs and Proofs

作者： Sebe, Mircea Fernandez, Maribel Cheney, James Univ Illinois Champaign IL 61820 USA Kings Coll London London England Univ Edinburgh Edinburgh Midlothian Scotland

ISBN: (纸本)9798400713477

Matching logic is the foundation of the K semantic environment for the specification of programming languages and automated generation of evaluators and verification tools. NLML is a formalization of nominal logic, which facilitates specification and reasoning about languages with binders, as a matching logic theory. Many properties of interest are inductive, and to prove them an induction principle modulo alpha-equality is required. In this paper we show that an alpha-structural Induction Principle for any nominal binding signature can be derived in an extension of NLML with set variables and fixpoint operators. We illustrate the use of the principle to prove properties of the lambda-calculus, the computation model underlying functional programming languages. the techniques generalize to other languages with binders. the proofs have been written in and generated using Metamath Zero.

关键词： Binding operator Matching logic Nominal logic Lambda-Calculus Verification Induction Metamath Zero

来源：评论

学校读者我要写书评

暂无评论

inductive logic programming for explainable graph clustering 14

Inductive Logic Programming for explainable graph clustering

引用

14th IEEE international conference on Knowledge Graph (IEEE ICKG)

作者： Schramm, Simon Schmid, Ute Univ Bamberg Chair Cognit Syst Bamberg Germany BMW Grp Market Forecasting Munich Germany

ISBN: (纸本)9798350307092

Graph clustering is a popular method to understand networks and make them accessible for downstream Machine Learning tasks. Especially for large networks, the results of graph clustering are difficult to explain, since visualizations can be chaotic and the metric used for clustering can be non-interpretable. We propose a method to use inductive logic programming to provide a post-hoc, local explanation for the results of an arbitrary graph clustering algorithm. Our interactive approach is based on three steps: (1) Formalizing graph data as input for the inductive logic programming system Popper, (2) Qualifying entities from the graph as instances for the variables in the resulting formal logic statements and (3) Re-integrating user feedback on the provided, comprehensible statements into Popper. Compared to other benchmark graph clustering explanation approaches, the proposed method shows superior behaviour in terms of interpretability of the rules and clauses as well as in terms of interactivity on six benchmark datasets.

关键词： Graph clustering inductive logic programming

来源：评论

学校读者我要写书评

暂无评论

inductive logic programming based Bottlenose Delphin Optimization to Fake new Detection

Inductive Logic Programming based Bottlenose Delphin Optimiz...

引用

international conference on Computer Applications and Industrial Electronics (ICCAIE)

作者： Gunasekar thangarasu Rao Alla Kesava K Nattar Kannan Department of Digital Health and Health Informatics Saveetha School of Engineering IMU Univeristy Saveetha Institute of Medical and Technical Sciences Chennai Malaysia MAHSA Univeristy Saujana Putra Selangor Malaysia Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9798350348798

ISBN: (纸本)9798350348804

the integration of inductive logic programming (ilp) and Bottlenose Dolphin Optimization (BDO) in this research addresses a pressing issue in today's information-saturated landscape: the proliferation of fake news. In an era where misleading information can spread rapidly, traditional methods often fall short in effectively identifying deceptive content. To combat this challenge, our approach harnesses the synergies of ilp and BDO. ilp plays a crucial role in constructing logical rules that capture intricate relationships within news data. By doing so, it delves deep into the content, seeking out patterns and inconsistencies that may not be obvious at first glance. BDO, on the other hand, takes inspiration from the social behavior of bottlenose dolphins to optimize the process of generating these rules. Just as dolphins collaborate and communicate to solve complex problems, BDO helps refine the logical rules for better accuracy. Ultimately, this research underscores the potential of bio-inspired optimization, such as BDO, combined with the precision of logic programming (ilp) to strengthen the integrity of information dissemination platforms. In an age where the veracity of information is paramount, this innovative approach offers a promising solution to combat the spread of fake news and promote the dissemination of authentic, reliable information.

关键词： Sentiment analysis Accuracy logic programming Pressing Robustness logic Fake news

来源：评论

学校读者我要写书评

暂无评论

14th international Workshop on Rewriting logic and its Applications, WRLA 2022

14th International Workshop on Rewriting Logic and its Appli...

引用

14th international Workshop on Rewriting logic and its Applications, WRLA 2022

ISBN: (纸本)9783031124402

the proceedings contain 14 papers. the special focus in this conference is on Rewriting logic and its Applications. the topics include: Automating Safety Proofs About Cyber-Physical Systems Using Rewriting Modulo SMT;executable Semantics and Type Checking for Session-Based Concurrency in Maude;Parallel Maude-NPA for Cryptographic Protocol Analysis;maude as a Library: An Efficient All-Purpose programming Interface;rewriting Privacy;Canonical Narrowing with Irreducibility and SMT Constraints as a Generic Symbolic Protocol Analysis Method;an Overview of the Maude Strategy Language and its Applications;teaching Formal Methods to Undergraduate Students Using Maude;business Processes Analysis with Resource-Aware Machine Learning Scheduling in Rewriting logic;modeling, Algorithm Synthesis, and Instrumentation for Co-simulation in Maude;an Efficient Canonical Narrowing Implementation for Protocol Analysis;checking Sufficient Completeness by inductive theorem Proving.

关键词：

来源：评论

学校读者我要写书评

暂无评论

LazyBum: Decision Tree Learning Using Lazy Propositionalization 1

引用

29th international conference on inductive logic programming

作者： Schouterden, Jonas Davis, Jesse Blockeel, Hendrik Katholieke Univ Leuven Dept Comp Sci Celestijnenlaan 200ABox 2402 B-3001 Leuven Belgium

ISBN: (数字)9783030492106

ISBN: (纸本)9783030492090;9783030492106

Propositionalization is the process of summarizing relational data into a tabular (attribute-value) format. the resulting table can next be used by any propositional learner. this approach makes it possible to apply a wide variety of learning methods to relational data. However, the transformation from relational to propositional format is generally not lossless: different relational structures may be mapped onto the same feature vector. At the same time, features may be introduced that are not needed for the learning task at hand. In general, it is hard to define a feature space that contains all and only those features that are needed for the learning task. this paper presents LazyBum, a system that can be considered a lazy version of the recently proposed OneBM method for propositionalization. LazyBum interleaves OneBM's feature construction method with a decision tree learner. this learner both uses and guides the propositionalization process. It indicates when and where to look for new features. this approach is similar to what has elsewhere been called dynamic propositionalization. In an experimental comparison with the original OneBM and with two other recently proposed propositionalization methods (nFOIL and MODL, which respectively perform dynamic and static propositionalization), LazyBum achieves a comparable accuracy with a lower execution time on most of the datasets.

关键词： LazyBum inductive logic programming Propositionalization

来源：评论

学校读者我要写书评

暂无评论

inductive logic programming: 24th international conference, ilp 2014, Nancy, France, September 14-16, 2014, Revised Selected Papers

引用

2016年

作者： Jesse Davis Jan Ramon

ISBN: (纸本)9783319237077

this book constitutes the thoroughly refereed post-conference proceedings of the 24th international conference on inductive logic programming, ilp 2014, held in Nancy, France, in September 2014. the 14 revised papers presented were carefully reviewed and selected from 41 submissions. the papers focus on topics such as the inducing of logic programs, learning from data represented with logic, multi-relational machine learning, learning from graphs, and applications of these techniques to important problems in fields like bioinformatics, medicine, and text mining.

关键词：

来源：评论

学校读者我要写书评

暂无评论

inductive logic programming: 24th international conference, ilp 2014 Nancy, France, September 14–16, 2014 Revised Selected Papers 24th

Inductive Logic Programming: 24th International Conference, ...

引用

24th international conference on inductive logic programming, ilp 2014

作者： Davis, Jesse Ramon, Jan Department of Computer Science KU Leuven Leuven Belgium

来源：评论

学校读者我要写书评

暂无评论

25th international conference on inductive logic programming, ilp 2015

引用

25th international conference on inductive logic programming, ilp 2015

ISBN: (纸本)9783319405650

the proceedings contain 14 papers. the special focus in this conference is on inductive logic programming. the topics include: Relational kernel-based grasping with numerical features;complex aggregates within random forests;distributed parameter learning for probabilistic ontologies;meta-interpretive learning of data transformation programs;statistical relational learning with soft quantifiers;ontology learning from interpretations in lightweight description logics;constructing markov logic networks from first-order default rules;a note on mining all graphs;processing markov logic networks with GPUs;using ilp to identify pathway activation patterns in systems biology;an algebraic prolog for kernel programming;an exercise in declarative modeling for relational query mining;learning inference by induction and identification of transition models of biological systems in the presence of transition noise.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Concept Learning in AutomationML with Formal Semantics and inductive logic programming 14

Concept Learning in AutomationML with Formal Semantics and I...

引用

14th IEEE international conference on Automation Science and Engineering (IEEE CASE)

作者： Hua, Yingbing Hein, Bjoern Karlsruhe Inst Technol Fac Informat D-76131 Karlsruhe Germany

ISBN: (纸本)9781538635933

Technologies for Industry-4.0 are evolving rapidly, and the term semantics is widely used. Various standardization groups claim that they provide mechanisms to express semantics or allow the integration of semantic information. the emerging data format AutomationML (as IEC 62714) proposes a role-based approach to encode semantics in engineering models and has already standardized fundamental engineering concepts as role classes. However, for concrete data processing tasks the currently standardized role classes are not sufficient to unambiguously express the meaning of various vendor or application specific concepts, while user-defined role classes rely on hand wired semantics encoded in dedicated software, e.g. importer/exporters. Yet AutomationML system unit classes represent reusable engineering objects as relational models of AutomationML roles, attributes, interfaces, internal elements and links, which can be used to describe complex user-specific concepts. To enable an automatic machine interpretation of these unstandardized relational models, we transform AutomationML data to a formal and declarative semantic representation using the Web Ontology Language (OWL), and propose a rule mining approach to learn the intended meaning of user selected system unit classes, i.e. to identify the common relational structure shared by the selected engineering objects.

关键词： Semantics

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：