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multiboost.org

MultiBoost

MultiBoost : an open-source multi-purpose boosting software.

http://www.multiboost.org/

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MultiBoost | multiboost.org Reviews
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MultiBoost : an open-source multi-purpose boosting software.
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MultiBoost | multiboost.org Reviews

https://multiboost.org

MultiBoost : an open-source multi-purpose boosting software.

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Code & Docs - MultiBoost

http://www.multiboost.org/download

If you use this software in any publication, please refer to the following article:. D Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, and B. Kégl. MultiBoost: a multi-purpose boosting package. Journal of Machine Learning Research. 13:549 553, 2012. The source code and the documentation are available below. The multiboost.zip contains the following files and directories:. File for generating Makefile. Src/: C source code files. After compilation, you can run. Mar 31, 2014, 4:56 AM. MultiBoost-1&#...

2

Recent site activity - MultiBoost

http://www.multiboost.org/system/app/pages/recentChanges

Apr 29, 2014, 8:28 AM. Djalel Benbouzid edited Future. Apr 29, 2014, 6:29 AM. Djalel Benbouzid edited Future. Apr 29, 2014, 6:27 AM. Djalel Benbouzid edited Future: MultiBoost.py. Apr 29, 2014, 6:26 AM. Djalel Benbouzid edited Future:. Apr 29, 2014, 6:23 AM. Djalel Benbouzid edited Future: MultiBoost.py. Apr 29, 2014, 6:22 AM. Djalel Benbouzid edited Future: MultiBoost.py. Apr 29, 2014, 6:20 AM. Djalel Benbouzid updated multiboostpy.pdf. Apr 29, 2014, 6:20 AM. Apr 29, 2014, 6:20 AM. Apr 29, 2014, 6:19 AM.

3

Benchmarks - MultiBoost

http://www.multiboost.org/benchmarks

If you use this software in any publication, please refer to the following article:. D Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, and B. Kégl. MultiBoost: a multi-purpose boosting package. Journal of Machine Learning Research. 13:549 553, 2012. This page contains test error rates. On commonly used benchmark data sets. For now we are re-running the experiments from our ICML'09 paper.

4

Future - MultiBoost

http://www.multiboost.org/future

This is a proposal for a MultiBoost summer of code. The objective is to port MultiBoost into Python while keeping its efficiency asset. The original PDF document can be downloaded from here. Freund and Schapire 1997). Is one of the best off-the-shelf learning methods developed in the last fifteen years. It constructs a classifier in an incremental fashion by adding simple classifiers to a pool, and uses their weighted vote to determine the final classification. AdaBoost. Benbouzid et al. 2012). Showed a ...

5

Examples - MultiBoost

http://www.multiboost.org/example

If you use this software in any publication, please refer to the following article:. D Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, and B. Kégl. MultiBoost: a multi-purpose boosting package. Journal of Machine Learning Research. 13:549 553, 2012. This simple example shows how AdaBoost.MH can be trained using various base learners, such as (real-valued) decision stumps, (categorical) subset indicators, decision trees, and decision products, on the UCI pendigits dataset. The command. Runs AdaBoo...

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Projects & results | AppStat Group

https://appstat.lal.in2p3.fr/projects-results

Applied Statistics and Machine Learning. Please visit Balázs Kégl’s homepage. Or the multiboost page. 2016 - AppStat Group. Proudly powered by WordPress. 2010 Weaver by WPWeaver.info.

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Kaggle – DogDogFish

http://dogdogfish.com/category/kaggle

Data Science, amongst other things. Kaggle Digit Recognizer Problem with Adaboost. June 12, 2014. Hi Dr Nick. But enough of that – today I’m going to be working through a Kaggle problem. So, the problem:. Given a big set (42,000) of labelled training data (28 x 28 black and white images) of handwritten images (0-9) are we able to correctly identify other (identically dimensioned) handwritten digits. There are a whole bunch of ways of doing this and the method I’ve had best success with is Support V...

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MultiBoost benchmark script | The Higgs Machine Learning Challenge

https://higgsml.lal.in2p3.fr/software/multiboost

The Higgs Machine Learning Challenge. Skip to primary content. Skip to secondary content. High Energy Physics links for ML. Machine Learning links for HEP. HEP meets ML award. This python script shows how to train a multiboost. Use the score function to order the events, and determine a score threshold on a validation set. The script then classifies the events in. And creates a file called. That you can submit at the Kaggle submission site. You can execute this iPython notebook. In a nicer format). Numbe...

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Results | Siminole

https://siminole.lal.in2p3.fr/results

Simulation, Inference, Optimization, Learning. R Bardenet, M. Brendel, B. Kégl, and M. Sebag. International Conference on Machine Learning. We simultaneously tune hyperparameters of a given algorithm on several data sets with a surrogate-based ranking and optimization technique. Ouassim Ait Elhara, Anne Auger, and Nikolaus Hansen. A median success rule for non-elitist evolution strategies: Study of feasibility. Proceedings of the Genetic and Evolutionary Computation Conference, GECCO. ACM, 2013. ( PDF.

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Software | Siminole

https://siminole.lal.in2p3.fr/results/software

Simulation, Inference, Optimization, Learning. Proudly powered by WordPress. 2010 Weaver by WPWeaver.info.

en.wikipedia.org en.wikipedia.org

AdaBoost - Wikipedia, the free encyclopedia

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

From Wikipedia, the free encyclopedia. Short for "Adaptive Boosting. Is a machine learning. Formulated by Yoav Freund. Who won the Gödel Prize. In some problems it can be less susceptible to the overfitting. While every learning algorithm will tend to suit some problem types better than others, and will typically have many different parameters and configurations to be adjusted before achieving optimal performance on a dataset, AdaBoost (with decision trees. When used with decision tree learning, informat...

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Matthew Sharpe – DogDogFish

http://dogdogfish.com/author/matthewsharpe3

Data Science, amongst other things. Author: Matthew Sharpe (page 1 of 3). Centre of the Edinburgh Fringe Festival. August 1, 2016. What is that map all about? It shows the weighted centre of all of the shows at this year’s Edinburgh Fringe Festival. If you want to be at the centre of the action, staying near there isn’t a bad idea. Use the filters to show you where the centre is for different categories (Theatre, Comedy etc.). All of the Fringe shows (with date, time, category and subcategory). Look, I&#...

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Kaggle Digit Recognizer Problem with Adaboost – DogDogFish

http://dogdogfish.com/kaggle/kaggle-digit-recognizer-problem-with-adaboost

Data Science, amongst other things. Kaggle Digit Recognizer Problem with Adaboost. June 12, 2014. Hi Dr Nick. But enough of that – today I’m going to be working through a Kaggle problem. So, the problem:. Given a big set (42,000) of labelled training data (28 x 28 black and white images) of handwritten images (0-9) are we able to correctly identify other (identically dimensioned) handwritten digits. There are a whole bunch of ways of doing this and the method I’ve had best success with is Support V...

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Machine Learning – DogDogFish

http://dogdogfish.com/category/machine-learning-2

Data Science, amongst other things. Building a Recommendation Service on AWS with Mahout. August 31, 2014. Those (two) of my regular readers will know I frequently curse my fool-of-a-took laptop. With this in mind I’ve been meaning to write a tutorial on working with Amazon’s web services for when you don’t have the hardware you need. This isn’t that post but I will assume you’ve already got a cluster to hand with all the bits and bobs you need installed. Based on the behaviour of people A, B and C we ca...

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DogDogFish – Page 2 – Data Science, amongst other things.

http://dogdogfish.com/page/2

Data Science, amongst other things. Page 2 of 3. Kaggle Digit Recognizer Problem with Adaboost. June 12, 2014. Hi Dr Nick. But enough of that – today I’m going to be working through a Kaggle problem. So, the problem:. Given a big set (42,000) of labelled training data (28 x 28 black and white images) of handwritten images (0-9) are we able to correctly identify other (identically dimensioned) handwritten digits. There are a whole bunch of ways of doing this and the method I’ve had best success with...

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MultiBoost

The MultiBoost package is a multi-class / multi-label / multi-task classification. Boosting software implemented in C . It implements essentially a multi-class version of AdaBoost. Along with several multi-class weak-learning algorithms and cascades. It is free and easy to build into other applications due to its high modularity. If you use this software in any publication, please refer to the following article:. D Benbouzid, R. Busa-Fekete, N. Casagrande, F.-D. Collin, and B. Kégl. 13:549 553, 2012.

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