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Quan Sun's Homepage

I am a Computer Science researcher and machine learning developer. Higgs Boson Machine Learning Challenge: 28th/1785 teams. Of my PhD thesis. The Fantail ml kit is available for download now. And Dr Michael Mayo. Assoc Prof Russel Pears and Prof. Pavel Brazdil were the examiners of my thesis. I'm interested in CS and applied mathematics in general, including subfileds of AI, Machine Learning and Statistics. The current list includes:. Recommender system/learning to rank. ART Forests 0.1. To the "Predicti...

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Quan Sun's Homepage | quansun.com Reviews

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I am a Computer Science researcher and machine learning developer. Higgs Boson Machine Learning Challenge: 28th/1785 teams. Of my PhD thesis. The Fantail ml kit is available for download now. And Dr Michael Mayo. Assoc Prof Russel Pears and Prof. Pavel Brazdil were the examiners of my thesis. I'm interested in CS and applied mathematics in general, including subfileds of AI, Machine Learning and Statistics. The current list includes:. Recommender system/learning to rank. ART Forests 0.1. To the Predicti...

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1 quan sun

2 quansun nz@gmail com

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4 tag cloud

5 research interests

6 ranking data analysis

7 decision tree/rule algorithms

8 optimisation techniques

9 software/solution i developed

10 fantail

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Quan Sun's Homepage | quansun.com Reviews

https://quansun.com

I am a Computer Science researcher and machine learning developer. Higgs Boson Machine Learning Challenge: 28th/1785 teams. Of my PhD thesis. The Fantail ml kit is available for download now. And Dr Michael Mayo. Assoc Prof Russel Pears and Prof. Pavel Brazdil were the examiners of my thesis. I'm interested in CS and applied mathematics in general, including subfileds of AI, Machine Learning and Statistics. The current list includes:. Recommender system/learning to rank. ART Forests 0.1. To the "Predicti...

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fantail.quansun.com

Fantail - A Machine Learning Kit

A key difference between Fantail and another popular preference learning package WEKA-LR. Is: Fantail uses the rank vector format (similar to the multi-target regression setting) rather than the order/explicit preference vector format. So in Fantail, label ranking is treated as a special case of the multi-target regression problem. The advantage of the Fantail approach is that both multi-target and label ranking algorithms can be used and tested under a unified framework. Approximate ranking tree forests).

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ART Forests Software, Supplementary materials

http://www.quansun.com/metalearning

Is a standalone program ( architecture. Although the program can be used for training/predicting on standard multi-rank/label ranking datasets, version 0.1 was implemented for demonstrating the general idea of the ART forests algorithm. Please let me know if you have any questions. A more comprehensive package is available for download here. Unzip artforests-0.1.zip to C: artforests-0.1. Edit C: artforests-0.1 config trainConfig.xml. Edit C: artforests-0.1 config testConfig.xml. Programmatic use /Java API.

2

Bagging Ensemble Selection Algorithm in WEKA (with source code)

http://www.quansun.com/bagging_es

Bagging Ensemble Selection - a new ensemble learning strategy. When to use Bagging Ensemble Selection? Accuracy is critical (many domains). Don’t need to understand the model (some domains). Training cost is NOT critical (access to low cost clusters). Need to optimize a special error metric or a combination of metrics. Potentially, non-stationary time series because BES untilises the out-of-bag sample, and has 'built-in' feature selection. Data mining competitions :-). The user can choose a target evalua...

3

Quan's webpage - weka solutions - UCSD data mining contest

http://www.quansun.com/ucsd-data-mining-contests.htm

UCSD/FICO 2010 data mining contest (1st place). Http:/ www.fico.com/en/Company/News/Pages/11-24-2010.aspx. Ensemble Selection with a lot of weka classifiers. Base models (ranked by performance on my test set). Bagging Boosting with RandomTree (minNumInstances per leaf needs to be between 1500 and 3500, with 3000 iterations). RandomSubspace LinearRegression (SubSpaceSize: 50% - 90%, change random seed). Stacking with fast leaners, such as trees, and NaiveBayes. SVM (RBF with different gammas). Zip1 (count...

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I am a Computer Science researcher and machine learning developer. Higgs Boson Machine Learning Challenge: 28th/1785 teams. Of my PhD thesis. The Fantail ml kit is available for download now. And Dr Michael Mayo. Assoc Prof Russel Pears and Prof. Pavel Brazdil were the examiners of my thesis. I'm interested in CS and applied mathematics in general, including subfileds of AI, Machine Learning and Statistics. The current list includes:. Recommender system/learning to rank. ART Forests 0.1. To the "Predicti...

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