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机器学习软件研讨会的介绍和概述
Introduction and overwiew of the Machine Learning Open Source Software workshop |
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| 课程网址: |
http://videolectures.net/mloss08_sonnenburg_iao/
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| 主讲教师: |
Sören Sonnenburg
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| 开课单位: |
柏林工业大学
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| 开课时间: |
2008-12-20
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| 课程语种: |
英语
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| 中文简介: |
我们相信，开源软件政策的广泛采用将为机器学习领域带来巨大的影响力。本次研讨会的目的是进一步支持该领域目前的发展并为其提供新的动力。继NIPS 2006年首届NIPS MLOSS研讨会取得成功之后，机器学习研究期刊（JMLR）开始了由研讨会组织者发起的机器学习开源软件的新轨道。许多着名的机器学习研究人员共同撰写了一份立场文件，主张在机器学习中需要开源软件。此外，研讨会的组织者已经建立了一个社区网站mloss.org，其中peoplecan注册他们的软件项目，评估现有项目并开始讨论项目和相关主题。该网站目前列出了156个此类项目，其中包括机器学习领域的许多重要项目。本次研讨会的主要目标是将机器学习开源软件领域的主要从业者聚集在一起，以启动有助于进一步改善该领域发展的流程。特别是，我们必须超越仅仅收集或多或少不相关的软件项目，并提供一个共同的基础，以促进任何项目之间的合作和互操作性。朝这个方向迈出的重要一步将是一种通用的数据交换格式，以便不同的方法可以更容易地交换它们的结果。
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| 课程简介: |
We believe that the wide-spread adoption of open source software policies will have a tremendous ipact on the field of machine learning. The goal of this workshop is to further support the current dvelopments in this area and give new impulses to it. Following the success of the inaugural NIPS-MLOSS workshop held at NIPS 2006, the Journal of Machine Learning Research (JMLR) has started a new track for machine learning open source software initiated by the workshop’s organizers. Many prominent machine learning researchers have co-authored a position paper advocating the need for open source software in machine learning. Furthermore, the workshop’s organizers have set up a community website mloss.org where people can register their software projects, rate existing projects and initiate discussions about projects and related topics. This website currently lists 156 such projects including many prominent projects in the area of machine learning. The main goal of this workshop is to bring the main practitioners in the area of machine learning open source software together in order to initiate processes which will help to further improve the development of this area. In particular, we have to move beyond a mere collection of more or less unrelated software projects and provide a common foundation to stimulate cooperation and interoperability between different projects. An important step in this direction will be a common data exchange format such that different methods can exchange their results more easily.
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| 关 键 词: |
开源软件; 机器学习; 社区网站
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| 课程来源: |
视频讲座网
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| 最后编审: |
2020-06-15：wuyq
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| 阅读次数: |
72
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图 书 馆