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Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.

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mloss | All entries | mloss.org Reviews

https://mloss.org

Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.

INTERNAL PAGES

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1

mloss | Users who have software projects

http://www.mloss.org/software/users

Users who have software projects. MLOSS workshop at ICML 2015: Open Ecosystems. On March 30, 2015. A third of the top 100 papers are about software. By Cheng Soon Ong. On October 30, 2014. Open Machine Learning Workshop. By Cheng Soon Ong. On July 28, 2014. By Cheng Soon Ong. On July 22, 2014. Google Summer of Code 2014. By Cheng Soon Ong. On June 3, 2014. Reproducibility is not simple. By Cheng Soon Ong. On March 30, 2014. Keynotes at ACML 2013. By Cheng Soon Ong. On November 14, 2013. By Cheng Soon Ong.

2

mloss | All entries

http://www.mloss.org/software/pubdate

MLOSS workshop at ICML 2015: Open Ecosystems. On March 30, 2015. A third of the top 100 papers are about software. By Cheng Soon Ong. On October 30, 2014. Open Machine Learning Workshop. By Cheng Soon Ong. On July 28, 2014. By Cheng Soon Ong. On July 22, 2014. Google Summer of Code 2014. By Cheng Soon Ong. On June 3, 2014. Reproducibility is not simple. By Cheng Soon Ong. On March 30, 2014. Keynotes at ACML 2013. By Cheng Soon Ong. On November 14, 2013. What does the OSS in MLOSS mean? By Cheng Soon Ong.

3

mloss | Data Formats

http://www.mloss.org/software/dataformat

MLOSS workshop at ICML 2015: Open Ecosystems. On March 30, 2015. A third of the top 100 papers are about software. By Cheng Soon Ong. On October 30, 2014. Open Machine Learning Workshop. By Cheng Soon Ong. On July 28, 2014. By Cheng Soon Ong. On July 22, 2014. Google Summer of Code 2014. By Cheng Soon Ong. On June 3, 2014. Reproducibility is not simple. By Cheng Soon Ong. On March 30, 2014. Keynotes at ACML 2013. By Cheng Soon Ong. On November 14, 2013. What does the OSS in MLOSS mean? By Cheng Soon Ong.

4

mloss | All entries

http://www.mloss.org/software/date

MLOSS workshop at ICML 2015: Open Ecosystems. On March 30, 2015. A third of the top 100 papers are about software. By Cheng Soon Ong. On October 30, 2014. Open Machine Learning Workshop. By Cheng Soon Ong. On July 28, 2014. By Cheng Soon Ong. On July 22, 2014. Google Summer of Code 2014. By Cheng Soon Ong. On June 3, 2014. Reproducibility is not simple. By Cheng Soon Ong. On March 30, 2014. Keynotes at ACML 2013. By Cheng Soon Ong. On November 14, 2013. What does the OSS in MLOSS mean? By Cheng Soon Ong.

5

mloss | Open Thoughts

http://www.mloss.org/community

MLOSS workshop at ICML 2015: Open Ecosystems. On March 30, 2015. A third of the top 100 papers are about software. By Cheng Soon Ong. On October 30, 2014. Open Machine Learning Workshop. By Cheng Soon Ong. On July 28, 2014. By Cheng Soon Ong. On July 22, 2014. Google Summer of Code 2014. By Cheng Soon Ong. On June 3, 2014. Reproducibility is not simple. By Cheng Soon Ong. On March 30, 2014. Keynotes at ACML 2013. By Cheng Soon Ong. On November 14, 2013. What does the OSS in MLOSS mean? By Cheng Soon Ong.

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mikiobraun.blogspot.com mikiobraun.blogspot.com

Marginally Interesting: January 2010

http://mikiobraun.blogspot.com/2010_01_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Wednesday, January 13, 2010. The Open Source Process and Research. Cross posted on mloss.org. I think there is more to be learned from the open source software development process than just publishing the code from your papers. So far, we’ve mostly focused on making the software side more similar to publishing scientific papers, for example, through creating a special open source software track at JMLR. 8220;Release early, release often”. Communicat...

mikiobraun.blogspot.com mikiobraun.blogspot.com

Marginally Interesting: July 2009

http://mikiobraun.blogspot.com/2009_07_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Wednesday, July 08, 2009. Threads, Exceptions, Net: HTTP, Timeouts and JRuby. The first surprise to me was that in Ruby, by default, if there is an exception in a thread, the thread silently dies, not even issuing an error message. Only after you joined the thread, you get the error message. You can set. Thread.abort on exception = true. So when working with multithreaded applications, enclosing the whole thread in a. And an interesting article.

mikiobraun.blogspot.com mikiobraun.blogspot.com

Marginally Interesting: January 2009

http://mikiobraun.blogspot.com/2009_01_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Friday, January 16, 2009. Science and the Market Metaphor. John Langford had an interesting post on what he calls the "adversial viewpoint" on academia. He has observed in the following years. John argues that the adversarial viewpoint might make sense, but it is actually bad for science, because scientists are more focused on rejecting other papers, projects or ideas, instead of being open for new developments. But I think this leads to an interest...

mikiobraun.blogspot.com mikiobraun.blogspot.com

Marginally Interesting: August 2008

http://mikiobraun.blogspot.com/2008_08_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Monday, August 25, 2008. Benchmarking javac vs. ecj on Array Access. One of the projects I'm currently working on is a fast linear algebra matrix library for Java. I know that there already exist some alternatives, but I usually found that they were either no longer actively maintained or their performance was much slower than what, for example, matlab would give you. Which is going to be released soon. And I wondered how their. Access methods compa...

mikiobraun.blogspot.com mikiobraun.blogspot.com

Marginally Interesting: October 2008

http://mikiobraun.blogspot.com/2008_10_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Thursday, October 23, 2008. Matrices, JNI, DirectBuffers, and Number Crunching in Java. One thing Java lacks is a fast matrix library. There things like JAMA. Not using its LAPACK bindings), but compared to state-of-the-art implementations like ATLAS. They are orders of magnitude slower. Therefore I've set out some time ago to write my own matrix classes. Basically, there are two areas where the Java platform can give you quite a headache:. The solu...

censix.com censix.com

Machine Learning and Automated Trading - Open Source Tools and Techniques For Profitable Trading Strategies

http://censix.com/learningit.html

Machine Learning and Automated Trading. Open Source Tools and Techniques For Profitable Trading Strategies. How to create trading strategies and backtest them in R:. Quantitative Trading Strategies in R. Using quantstrat to evaluate intraday trading strategies (R in Finance Conference 2013). Http:/ www.rfortraders.com/. Http:/ quantstrattrader.wordpress.com/. Http:/ blog.fosstrading.com/. Machine Learning Highly recommended course by Andrew Ng. Short high level overview of deep learning .

ong-home.my ong-home.my

Cheng Soon Ong

http://www.ong-home.my/index.html

Principal researcher at the Machine Learning Research Group. As well as the community sites mloss.org. NICTA, Canberra Research Laboratory,. Tower A, 7 London Circuit, Canberra ACT 2601.

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Machine learning - Wikipedia, the free encyclopedia

https://en.wikipedia.org/wiki/Machine_learning

From Wikipedia, the free encyclopedia. For the journal, see Machine Learning (journal). Relevance vector machine (RVM). Support vector machine (SVM). Is a subfield of computer science. More particularly soft computing. That evolved from the study of pattern recognition. And computational learning theory. In 1959, Arthur Samuel. Defined machine learning as a "Field of study that gives computers the ability to learn without being explicitly programmed". From and make predictions on data. Within the field o...

congqiyuan.com congqiyuan.com

AI | Qiyuan Cong

http://www.congqiyuan.com/category/ai

Follow my heart and try my best. 2013 年 11 月 3 日. Middot; Leave a comment. Curl -L https:/ github.com/mxcl/homebrew/tarball/master sudo tar xz –strip 1 -C homebrew. Source .bash profile. Sudo brew install cmake. Sudo chmod -R g w 授权给相应路径,例如. Sudo chmod -R g w /Library/Caches/Homebrew. Install from source code:. Download the source code. Mv opencv-3.1.0 /usr/local/src/. Cd opencv-3.1.0. Cmake -G “Unix Makefiles” . 2013 年 5 月 12 日. Middot; Leave a comment. Http:/ opencv.willowgarage.com/wiki/. Http:/ mirro...

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