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

35 篇 会议
6 篇 期刊文献
1 篇 学位论文

馆藏范围

42 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

40 篇 工学
- 37 篇 计算机科学与技术...
- 26 篇 软件工程
- 3 篇 电气工程
- 2 篇 信息与通信工程
1 篇 管理学
- 1 篇 管理科学与工程(可...
1 篇 艺术学
- 1 篇 艺术学理论
- 1 篇 音乐与舞蹈学

主题

42 篇 exploratory prog...
10 篇 data science
7 篇 smalltalk
6 篇 computational no...
5 篇 live programming
4 篇 scripting langua...
4 篇 squeak
3 篇 examples
3 篇 literate program...
3 篇 version control
3 篇 example-based pr...
3 篇 babylonian progr...
2 篇 end-user softwar...
2 篇 conversational a...
2 篇 world wide web
2 篇 c
2 篇 code history
2 篇 prototyping
2 篇 ray tracing
2 篇 programming inte...

机构

5 篇 univ potsdam has...
2 篇 univ amsterdam
2 篇 hasso plattner i...
2 篇 univ tokyo
2 篇 rhein westfal th...
2 篇 univ calif berke...
1 篇 structural infor...
1 篇 univ toronto on
1 篇 carnegie mellon ...
1 篇 victoria univ we...
1 篇 georgia inst tec...
1 篇 xerox palo alto ...
1 篇 cwi
1 篇 univ victoria de...
1 篇 univ potsdam pot...
1 篇 nara inst sci & ...
1 篇 cmu human comp i...
1 篇 bloomberg lp ny ...
1 篇 carnegie mellon ...
1 篇 kobe univ grad s...

作者

7 篇 hirschfeld rober...
5 篇 myers brad a.
4 篇 rein patrick
4 篇 krebs eva
3 篇 subramanian kris...
3 篇 taeumel marcel
3 篇 kery mary beth
3 篇 borchers jan
2 篇 koeferl franz
2 篇 stamminger marc
2 篇 manesh daniel
2 篇 nakamaru tomoki
2 篇 selgrad kai
2 篇 lohmann daniel
2 篇 deline robert
2 篇 van binsbergen l...
2 篇 sato shigeyuki
2 篇 john bonnie e.
2 篇 thiede christoph
2 篇 lier alexander

语言

41 篇 英文
1 篇 其他

检索条件"主题词=Exploratory Programming"

共 42 条记录，以下是21-30 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：

Interactions for Untangling Messy History in a Computational Notebook

Interactions for Untangling Messy History in a Computational...

引用

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

作者： Kery, Mary Beth Myers, Brad A. CMU Human Comp Interact Inst Pittsburgh PA 15213 USA

ISBN: (纸本)9781538642351

Experimentation through code is central to data scientists' work. Prior work has identified the need for interaction techniques for quickly exploring multiple versions of the code and the associated outputs. Yet previous approaches that provide history information have been challenging to scale: real use produces a high number of versions of different code and non-code artifacts with dependency relationships and a convoluted mix of different analysis intents. Prior work has found that navigating these records to pick out the relevant information for a given task is difficult and time consuming. We introduce Verdant, a new system with a novel versioning model to support fast retrieval and sensemaking of messy version data. Verdant provides light-weight interactions for comparing, replaying, and tracing relationships among many versions of different code and non-code artifacts in the editor. We implemented Verdant into Jupyter Notebooks, and validated the usability of Verdant's interactions through a usability study.

关键词： exploratory programming versioning data science

来源：评论

学校读者我要写书评

暂无评论

Lightweight, Generative Variant Exploration for High-Performance Graphics Applications 2015

Lightweight, Generative Variant Exploration for High-Perform...

引用

14th ACM SIGPLAN International Conference on Generative-programming - Concepts and Experiences (GPCE) co-located with SPLASH Conference

作者： Selgrad, Kai Lier, Alexander Koeferl, Franz Stamminger, Marc Lohmann, Daniel Kastner, Christian Friedrich Alexander Univ Erlangen Nurnberg Erlangen Germany

ISBN: (纸本)9781450336871

Rendering performance is an everlasting goal of computer graphics and significant driver for advances in both, hardware architecture and algorithms. Thereby, it has become possible to apply advanced computer graphics technology even in low-cost embedded appliances, such as car instruments. Yet, to come up with an efficient implementation, developers have to put enormous efforts into hardware/problem-specific tailoring, fine-tuning, and domain exploration, which requires profound expert knowledge. If a good solution has been found, there is a high probability that it does not work as well with other architectures or even the next hardware generation. Generative DSL-based approaches could mitigate these efforts and provide for an efficient exploration of algorithmic variants and hardware-specific tuning ideas. However, in vertically organized industries, such as automotive, suppliers are reluctant to introduce these techniques as they fear loss of control, high introduction costs, and additional constraints imposed by the OEM with respect to software and tool-chain certification. Moreover, suppliers do not want to share their generic solutions with the OEM, but only concrete instances. To this end, we propose a light-weight and incremental approach for meta programming of graphics applications. Our approach relies on an existing formulation of C-like languages that is amenable to meta programming, which we extend to become a lightweight language to combine algorithmic features. Our method provides a concise notation for meta programs and generates easily sharable output in the appropriate C-style target language.

关键词： exploratory programming general purpose code generation prototyping ray tracing

来源：评论

学校读者我要写书评

暂无评论

IUI4EUD: Intelligent User Interfaces for End-User Development 20

IUI4EUD: Intelligent User Interfaces for End-User Developmen...

引用

25th ACM International Conference on Intelligent User Interfaces (IUI)

作者： Myers, Brad A. Carnegie Mellon Univ Sch Comp Sci Human Comp Interact Inst Pittsburgh PA 15213 USA

ISBN: (纸本)9781450371186

End-User Developers program to meet some goal other than the code itself. This includes scientists, data analysts, and the general public when they write code. We have been working for many years on various ways to make end-user development more successful. In this talk, I will focus on two new projects where we are applying intelligent user interfaces to this long-standing challenge. In SUGILITE, the user can teach an intelligent agent new skills interactively with the user interfaces of relevant smartphone apps through a combination of programming by example (PBE) and natural language instructions. For instance, a user can teach SUGILITE how to order the cheaper car between Uber and Lyft, even though SUGILITE has no access to their APIs, no knowledge about the task domain, and no understanding of the concept "cheap" in advance. Another project, called Verdant, is focusing on helping data scientists, including those using Machine Learning and AI, to do exploratory programming. Verdant supports micro-versioning in computational notebooks for understanding the difference among the output and code of different versions, backtracking, provenance of output to its code, and searching the history. A goal for Verdant is to intelligently organize and summarize the raw history data to help data scientists make effective choices from it.

关键词： End-User programming (EUP) End-User Development (EUD) End-User Software Engineering (EUSE) exploratory programming programming by Demonstration (PBD) Literate programming Version Control Conversational Agents

来源：评论

学校读者我要写书评

暂无评论

Toolset to support a systematic strategy for AI development

Toolset to support a systematic strategy for AI development

引用

7th International Conference on Tools with Artificial Intelligence (TAI 95)

作者： Siddiqi, J Morrey, I SHEFFIELD HALLAM UNIV CTR RES COMPSHEFFIELD S1 1WBS YORKSHIREENGLAND

ISBN: (纸本)0818673125

AI developments have been based on an exploratory approach whereas software engineering approaches can be characterised as specification based. We present an integrated toolset that accommodates and encourages a mixed mode development thereby maximising the strengths and minimising the weaknesses of both approaches. Moreover, the interactive nature of the toolset provides an effective means to validate the adequacy of the developing system.

关键词： formal specification exploratory programming validation

来源：评论

学校读者我要写书评

暂无评论

Code Duplication and Reuse in Jupyter Notebooks

Code Duplication and Reuse in Jupyter Notebooks

引用

IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

作者： Koenzen, Andreas P. Ernst, Neil A. Storey, Margaret-Anne D. Univ Victoria Dept Comp Sci Victoria BC Canada

ISBN: (纸本)9781728169019

Duplicating one's own code makes it faster to write software. This expediency is particularly valuable for users of computational notebooks. Duplication allows notebook users to quickly test hypotheses and iterate over data. In this paper, we explore how much, how and from where code duplication occurs in computational notebooks, and identify potential barriers to code reuse. Previous work in the area of computational notebooks describes developers' motivations for reuse and duplication but does not show how much reuse occurs or which barriers they face when reusing code. To address this gap, we first analyzed GitHub repositories for code duplicates contained in a repository's Jupyter notebooks, and then conducted an observational user study of code reuse, where participants solved specific tasks using notebooks. Our findings reveal that repositories in our sample have a mean self-duplication rate of 7.6%. However, in our user study, few participants duplicated their own code, preferring to reuse code from online sources.

关键词： Jupyter computational notebooks code duplication code clones code reuse data analysis data exploration exploratory programming

来源：评论

学校读者我要写书评

暂无评论

Can We Do Better with What We Have Done? Unveiling the Potential of ML Pipeline in Notebooks 40

Can We Do Better with What We Have Done? Unveiling the Poten...

引用

40th International Conference on Software Maintenance and Evolution

作者： Zou, Yuangan Shan, Xinpeng Tan, Shiqi Zhou, Shurui Univ Toronto Toronto ON Canada

ISBN: (纸本)9798350395693;9798350395686

Computational notebooks are widely adopted by data scientists for experimenting with machine learning (ML) models. Despite the support for exploratory programming enabled by notebooks, they fall short in the ability to manage alternatives across different stages of the ML pipeline. In this study, we conduct a qualitative analysis to examine how data scientists explore various alternatives through a series of versions of notebooks on Kaggle. The findings indicate that data scientists investigate multiple alternatives at each stage across multiple versions, yet only a limited number of combinations from different stages are explored. Next, by combining alternatives from all stages to form previously unexplored paths, we discover that certain untested combinations of alternatives can outperform the best models as identified in the original notebooks. Moreover, by substituting the hyperparameter optimization and model configuration stages with AutoML methods, we observe that only a select number of ML pipelines experience improvement via AutoML, which implies the limitation of the current AutoML techniques. In summary, our study provides insights into the systematic and effective exploration of overlooked ML pipeline configuration combinations that yield superior results. The findings shed light on future research directions such as the development of tooling support of alternative management while striking a balance between manual exploration and automated optimization.

关键词： Alternatives computational notebooks exploratory programming code history machine learning pipeline version control AutoML

来源：评论

学校读者我要写书评

暂无评论

Example Mining Assisting Example Creation to Enhance Code Comprehension 22

Example Mining Assisting Example Creation to Enhance Code Co...

引用

6th International Conference on the Art, Science, and Engineering of programming (programming)

作者： Krebs, Eva Rein, Patrick Hirschfeld, Robert Univ Potsdam Hasso Plattner Inst Potsdam Germany

ISBN: (纸本)9781450396561

Programmers often use examples with concrete values to better understand code. Code by itself is abstract, which empowers it to be used for a variety of uses, but can be difficult to grasp by developers. Babylonian programming addresses this by allowing programmers to concretize their code by defining and visualizing examples directly in the code itself while editing. Currently, Babylonian programming implementations such as Babylonian/S require programmers to define examples manually. For examples containing small objects this is straightforward, however when creating large or complex objects it is not. Sometimes, workarounds such as copying existing code pieces or trying to recreate existing objects are used to reuse information already present in the system, but these workarounds can be error-prone and also time-consuming. In this paper, we propose Example Mining to address this issue by providing techniques and integrated tools to mine examples from existing sources similar to concepts from run-time tracing and test case extraction. Example mining introduces concepts to mine examples from tests, debugging sessions, and traces of actual usage of the system under development. All tools were implemented for Babylonian/S in Squeak/Smalltalk. We demonstrate the usefulness of the tools through walkthroughs. Our tools provide examples for many methods immediately and automatically. As a consequence, programmers have more immediate access to dynamic feedback on their abstract code, making code comprehension and debugging more effective.

关键词： live programming exploratory programming example-based programming babylonian programming examples squeak smalltalk

来源：评论

学校读者我要写书评

暂无评论

Multiverse Notebook: A Notebook Environment for Safe and Efficient Exploration 26

Multiverse Notebook: A Notebook Environment for Safe and Eff...

引用

ACM SIGPLAN International Conference on Systems, programming, Languages, and Applications: Software for Humanity (SPLASH Companion)

作者： Nakamaru, Tomoki Sato, Shigeyuki Univ Tokyo Tokyo Japan

ISBN: (纸本)9781450399012

Notebook environments are used widely in data analysis and machine learning because their interactive user interfaces fit well with exploratory tasks in these areas. However, the execution model of existing notebook environments is unsuitable for safe and efficient exploration because every code cell of a notebook runs in a single execution environment even for independent exploratory tasks, where unintended interference can arise among them. To resolve this problem, we developed Multiverse Notebook, a notebook environment that runs each cell in a separate execution environment and saves its execution state. In this poster, we present Multiverse Notebook and our techniques to reduce the application's time and space of Multiverse Notebook.

关键词： exploratory programming Computational notebook Memory management

来源：评论

学校读者我要写书评

暂无评论

HISTREE: A Tree-Based Experiment History Tracking Tool for Jupyter Notebooks 30

HISTREE: A Tree-Based Experiment History Tracking Tool for J...

引用

30th Asia-Pacific Software Engineering Conference (APSEC)

作者： Studtmann, Laurens Aydin, Selin Lichter, Horst Rhein Westfal TH Aachen Res Grp Software Construct Aachen Germany

ISBN: (纸本)9798350344172

When experimenting on solutions to Machine Learning problems, data scientists often integrate non-linear workflows into Jupyter Notebooks to explore different approaches and evaluate the impact of changes such as using different Machine Learning models or adjusting parameters. This mode of working leads to Notebooks that are cluttered and difficult to navigate which complicates refining and reusing previous experiments later on. Jupyter Notebooks lack inherent support for such a mode of working. Therefore, we propose the JupyterLab extension HISTREE that provides an interactive tree-based representation of the experiment history in Jupyter Notebooks. Hereby, Notebook versions triggered by specified Notebook operations, are automatically saved and arranged in a tree structure. In this way, HISTREE allows data scientists to explore, compare, organize, and refine their past experiment approaches. In this paper, first, we introduce the concept of an experiment history tree model. This is followed by a comprehensive description of the functionality of HISTREE, which aims to support data scientists in organizing experiments in Jupyter Notebooks. Initial feedback from user experiments shows that the tree-based experiment model is very promising and that the HISTREE extension is both useful and usable to conduct ML experiments in Jupyter Notebooks.

关键词： Data Science exploratory programming Jupyter Notebook

来源：评论

学校读者我要写书评

暂无评论

STICKYLAND: Breaking the Linear Presentation of Computational Notebooks

STICKYLAND: Breaking the Linear Presentation of Computationa...

引用

CHI Conference on Human Factors in Computing Systems (CHI)

作者： Wang, Zijie J. Dai, Katie Edwards, W. Keith Georgia Tech Atlanta GA 30332 USA

ISBN: (纸本)9781450391566

How can we better organize code in computational notebooks? Notebooks have become a popular tool among data scientists, as they seamlessly weave text and code together, supporting users to rapidly iterate and document code experiments. However, it is often challenging to organize code in notebooks, partially because there is a mismatch between the linear presentation of code and the non-linear process of exploratory data analysis. We present StickyLand, a notebook extension for empowering users to freely organize their code in non-linear ways. With sticky cells that are always shown on the screen, users can quickly access their notes, instantly observe experiment results, and easily build interactive dashboards that support complex visual analytics. Case studies highlight how our tool can enhance notebook users's productivity and identify opportunities for future notebook designs. StickyLand is available at https://***/xiaohk/stickyland.

关键词： Computational Notebooks exploratory programming Code Layout

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5页 << < 1 2 3 4 5 > >>

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：