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Mikio L. Braun - Home

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I'm a PostDoc in machine learning at the Intelligent Data Analysis Group at the Technische Universität Berlin. Germany. My current research interest. Include kernel methods, feature extraction, and open source software. My publication list. Gives a more complete picture. On some topics you may also find short overviews. Follow me on twitter.

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Mikio L. Braun - Home | mikiobraun.de Reviews

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Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I'm a PostDoc in machine learning at the Intelligent Data Analysis Group at the Technische Universität Berlin. Germany. My current research interest. Include kernel methods, feature extraction, and open source software. My publication list. Gives a more complete picture. On some topics you may also find short overviews. Follow me on twitter.

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1 teaching

2 research

3 software

4 publications

5 postdoc

6 germany

7 email

8 overview

9 links

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Mikio L. Braun - Home | mikiobraun.de Reviews

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Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I'm a PostDoc in machine learning at the Intelligent Data Analysis Group at the Technische Universität Berlin. Germany. My current research interest. Include kernel methods, feature extraction, and open source software. My publication list. Gives a more complete picture. On some topics you may also find short overviews. Follow me on twitter.

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blog.mikiobraun.de

Marginally Interesting by Mikio L. Braun

MACHINE LEARNING, COMPUTER SCIENCE, JAZZ, AND ALL THAT. Head Over To margint.blog. Hello Fellow Readers,. I’ve set up a new blog at margint.blog. And will continue posting there (hopefully more frequently than I did in the past two years). This blog here will stay around indefinitely, of course, but I’ve also started to repost best-ofs to the new blog. I moved over to a wordpress hosted blog instead of my handrolled Jekyll. I was considering again rolling my own based on ghost. I don’t know how I ended u...

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Mikio L. Braun - Main

http://www.mikiobraun.de/about.html

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I received pre-diplomas ( B.Sc.) in Mathematics and Computer Science and a diploma ( M.Sc.) in Computer Science from the University of Bonn. From 2000 to 2004, I was a research assistant and Ph.D. student in the CVPR. Group headed by Prof. Buhmann. At the University of Bonn. In May 2004, I have joined the Intelligent Data Analysis Group. Buildi...

2

Mikio L. Braun - Home

http://www.mikiobraun.de/index.html

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I'm a PostDoc in machine learning at the Intelligent Data Analysis Group at the Technische Universität Berlin. Germany. My current research interest. Include kernel methods, feature extraction, and open source software. My publication list. Gives a more complete picture. On some topics you may also find short overviews. Follow me on twitter.

3

Mikio L. Braun - Teaching

http://www.mikiobraun.de/teaching.html

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Machine Learning—A Practical Course. Some Introductory Remarks on Bayesian Inference. Introduction to Machine Learning. Concepts of Probability Theory for Machine Learning. I've set up a google group. Where you can get latest information on the current teaching activities, ask questions, and discuss issues. You have to become a member to view the group contents, but access is not restricted. Lab Course "Machine Learning and Data Analysis".

4

Mikio L. Braun - Publications

http://www.mikiobraun.de/publications.html

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Machine Learning for Sensory Data and Control. Machine Learning Open Source Software. Stability Based Model Selection. Fast Cross-Validation via Sequential Analysis. NIPS BigLearning Workshop, 2011 ( abstract. Machine Learning for Sensory Data and Control. Detecting changes in Wind Turbine Sensory Data. NIPS Workshop: Machine Learning for Sustainability, 2013 ( abstract. Real-time social media analysis with TWIMPACT. Kernel Analysis of D...

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Mikio L. Braun - Software

http://www.mikiobraun.de/software.html

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Jblas 1.2.0. Plsdof: Degrees of Freedom for Partial Least Squares Regression 0.1. Jblas 1.2.0. Jblas is a fast linear algebra library for Java. jblas is based on BLAS and LAPACK, the de-facto industry standard for matrix computations, and uses state-of-the-art implementations like ATLAS for all its computational routines, making jBLAS very fast. This software is released under a BSD-style license. And its site on mloss.org. This software...

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recommenders.de

stammtisch |

http://recommenders.de/category/stammtisch

Meetup for all recommender, AI and machine learning fanatics and people who care about good recommendations. November 4, 2014. Join us for the 15th incarnation of the Recommender Stammtisch hosted by plista. The event will take place on Nov 13th, starting at 7pm. Please register here. We will have two talks:. Torben Brodt: “Latest in large scale recommendation engines and machine learning”. Sebastian Schelter: “Factorbird – a Parameter Server Approach to Distributed Matrix Factorization”. August 5, 2014.

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

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

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

Marginally Interesting: December 2008

http://mikiobraun.blogspot.com/2008_12_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Monday, December 22, 2008. Although I came home from last year's NIPS conference more than three weeks ago, I haven't yet found time to summarize my impressions. I've found that it's always like this, first there is the jet-lag, then there is Christmas, New Year. But maybe it's not just the closeness to the holiday season, I think it's also that NIPS is so content-rich that you really need some time to digest all that information. Yves Grandvalet ha...

mikiobraun.blogspot.com

Marginally Interesting: September 2008

http://mikiobraun.blogspot.com/2008_09_01_archive.html

Machine Learning, Computer Science, Jazz, and all that. Tuesday, September 09, 2008. Why are people following me on twitter? A few months ago I created an account on twitter. Part of me justed wanted to try out the newest Web 2.0 thing everybody's crazy about, but I also got myself convinced to perceive a certain need as I was going to a wedding without my family and thought that this way I could keep them up to date on my whereabouts. One of the main guys working on jruby. Monday, September 08, 2008.

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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

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...

mikiobraun.blogspot.com

Marginally Interesting: jblas release 1.0

http://mikiobraun.blogspot.com/2009/12/jblas-release-10.html

Machine Learning, Computer Science, Jazz, and all that. Tuesday, December 22, 2009. Jblas release 1.0. Update: I released jblas-1.0.1 which also works on processors which only support SSE2 (e.g. older Athlon64 processors). Go to jblas.org. And check it out! I’ve just release jblas 1.0. For those of you who don’t know yet, jblas is a matrix library for Java which is based on the BLAS and LAPACK routines, currently using ATLAS. In any case, here are the most important new features of release 1.0. Orgjblas ...

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Machine Learning, Computer Science, Jazz, and all that. Friday, March 12, 2010. I have finally moved my blog to a new platform. The address blog.mikiobraun.de. And the feedburner RSS feed stay the same, so hopefully nothing should change for you. Wednesday, January 13, 2010. The Open Source Process and Research. Cross posted on mloss.org. However, there is more to be learned from the open source software development process:. 8220;Release early, release often”. Communicate to people through your blog, or...

mikiobraun.de

Mikio L. Braun - Home

Mikio L. Braun. Machine Learning / Intelligent Data Analysis Group. Mikio L. Braun. TU Berlin, MAR 4-1. Marchstraße 23 (Room MAR4058). Phone: ( 49) 030 314 78627. I'm a PostDoc in machine learning at the Intelligent Data Analysis Group at the Technische Universität Berlin. Germany. My current research interest. Include kernel methods, feature extraction, and open source software. My publication list. Gives a more complete picture. On some topics you may also find short overviews. Follow me on twitter.

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Data Science guy and blogger. Formerly streamdrill. Still at TU Berlin. Fast track media upload for twitter.com/mikiobraun. Blog blog.mikiobraun.de. Dude, have you received my brocard? Right now: Berlin’s mayor giving his speech prior to my prof receiving the science prize of the city. Just got my complimentary copy of “Implementing Reproducible Research”. Web or not, printed stuff always looks much more serious. ;). Yay, PayPal has a recent post on their use of DeepLearning. Good morning, Brussels.

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It is World War II. In 1942, Germany is at the peak of its might. The Third Reich spans most of Europe. It rests on the Pyrenees on the West, and in the East Wehrmaht soldiers can already see the spires of the Kremlin. One of the few still independent countries is Great Berlin. The British Goverment drafts a plan for the most daring wartime operation. Key officials of the Third Reich are to. Http:/ rapidshare.com/files/192254291/Operation.Thunderstorm.part01.rar. Kategorija: sport/ zimski sportovi. Http:...

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