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Cheng Soon Ong

This is the professional website of Cheng Soon Ong. I am a researcher interested in enabling scientific discovery in the biosciences by extending statistical machine learning methods.

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Cheng Soon Ong | ong-home.my Reviews
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Cheng Soon Ong | ong-home.my Reviews

https://ong-home.my

This is the professional website of Cheng Soon Ong. I am a researcher interested in enabling scientific discovery in the biosciences by extending statistical machine learning methods.

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1

Cheng Soon Ong

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

Invited speaker at Machine Learning and Data Analytics Symposium. Finding Good Scientific Experiments with Machine Learning. Tutorial at the Australasian Joint Conference on Artificial Intelligence 2015 - A Data Analytics View of Genomics ( slides. Workshop introducing machine learning to biologists ( figshare. Invited speaker at the 2014 Australian Frontiers of Science - The edges of astronomy, organised by the Australian Academy of Sciences. (event website). Visited Prof. Stephane Canu.

2

Cheng Soon Ong

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

May 2010 - present. Community Site Developer and Maintainer of mldata.org. An on-going effort to build a data and benchmark repository for the machine learning community. (supported by a PASCAL2 grant). Nov 2007 - present. Community Site Developer and Maintainer of mloss.org. The website aims to build a forum for open source software in machine learning. Aug 2007 - present. Action Editor for Journal of Machine Learning Research (JMLR). NIPS workshop on Machine Learning Open Source Software MLOSS'13.

3

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.

4

Cheng Soon Ong

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

Richard Nock, Aditya Krishna Menon, Cheng Soon Ong, A Scaled Bregman Theorem with Applications,. Dawei Chen, Cheng Soon Ong, Lexing Xie, Learning Points and Routes to Recommend Trajectories,. Dongwoo Kim, Lexing Xie, Cheng Soon Ong, Probabilistic Knowledge Graph Construction: Compositional and Incremental Approaches,. Young Lee, Kar Wai Lim, Cheng Soon Ong, Hawkes Processes with Stochastic Excitations,. Aditya Menon, Cheng Soon Ong, Linking losses for density ratio and class-probability estimation,.

5

Cheng Soon Ong

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

Probabilistic Graphical Models for Image Analysis. Head teaching assistant for Masters level computer science laboratory. Probabilistic Graphical Models for Image Analysis. Teaching assistant for Masters level computer science laboratory. Probabilistic Graphical Models for Image Analysis. Support Vector Machines and Kernels for Computational Biology. Intelligent Systems for Molecular Biology 2009, Stockholm, Sweden. 4 hour tutorial jointly delivered with Sören Sonnenburg and Gunnar Rätsch.

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mlbench.org mlbench.org

mldata :: Repository :: Challenge :: Public Archive

http://mlbench.org/repository/challenge

You are here: Home. 3707 views, 0 downloads, 0 comments. Last edited by krallinger. Dec 31, 2012, 12:32 CET. Summary: Chemical compound and drug name recognition task (BioCreative IV: http:/ www.biocreative.org/tasks/biocreative-iv/chemdner ). License: CC-BY-SA 3.0. 5134 views, 0 downloads, 0 comments. Last edited by kidzik. Oct 25, 2011, 16:11 CET. Summary: Challenge showing mldata.org features. License: CC-BY-SA 3.0. And we will do it as soon as possible. Http:/ www.pascal-network.org/.

mlbench.org mlbench.org

mldata :: Repository :: Method :: Public Archive

http://www.mlbench.org/repository/method

You are here: Home. KDDCup11 track2 by SVDFeature. 3241 views, 0 downloads, 0 comments. Last edited by crowwork. Nov 2, 2011, 09:54 CET. Summary: We describe our experiment on KDDCup11 track2 dataset using SVDFeature, getting state-of-art single model peformance. License: CC-BY-SA 3.0. Recommends via matrix completion. 2421 views, 0 downloads, 0 comments. Last edited by kidzik. Sep 13, 2011, 20:16 CET. License: CC-BY-SA 3.0. 2754 views, 0 downloads, 0 comments. Last edited by kidzik. Last edited by kidzik.

mlbench.org mlbench.org

mldata :: About :: Impressum

http://www.mlbench.org/about/impressum

You are here: Home. The host of this Internet web site is the Technische Universität Berlin. Prof Dr. Kurt Kutzler. Straße des 17. Juni 135. Telephone: 49 (0)30 314-0. Fax: 49 (0)30 314-23222. The value added tax identification number of the TU Berlin is DE 811 231 089. The editors responsible for the content of this site:. ML Group TU Berlin. Email: soeren.sonnenburg at tu-berlin.de. Telephone: 49 (0)30 314-78630. Fax: 49 (0)30 314-78622. Http:/ www.pascal-network.org/. 2009-2016 Cheng Soon Ong.

mlbench.org mlbench.org

mldata :: Repository :: Data :: Public Archive

http://www.mlbench.org/repository/data

You are here: Home. Showing Items 1-10 of 863 on page 1 of 87:. 0 views, 434 downloads, 0 comments. Last edited by mabel. Aug 9, 2016, 16:04 CET. Summary: a recopilation of faces showing contempt. Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges. Download: rar (585.1 KB). Files are converted on demand and the process can take up to a minute. Please wait until download begins. 201 views, 1576 downloads, 0 comments. Last edited by cong. Jan 7, 2016, 02:27 CET. Download: bz2 (4.0 MB). Tasks / ...

mldata.org mldata.org

mldata :: Repository :: :: CHEMDNER task of BioCreative IV

http://www.mldata.org/repository/data/viewslug/chemdner-task-of-biocreative-iv

You are here: Home. View / CHEMDNER task of BioCreative IV. View CHEMDNER task of BioCreative IV (public). 2015-07-14 11:16 by krallinger Version 1 Rating. Overall (based on 0 votes). Because others depend on it. CHEMDNER Task: Chemical compound and drug name recognition task. Targz (18.3 MB). Files are converted on demand and the process can take up to a minute. Please wait until download begins. Completeness of this item currently: 100%. Data (first 10 data points). By krallinger on 2015-07-14 11:16.

mldata.org mldata.org

mldata :: Repository :: Method :: Public Archive

http://www.mldata.org/repository/method

You are here: Home. KDDCup11 track2 by SVDFeature. 3241 views, 0 downloads, 0 comments. Last edited by crowwork. Nov 2, 2011, 09:54 CET. Summary: We describe our experiment on KDDCup11 track2 dataset using SVDFeature, getting state-of-art single model peformance. License: CC-BY-SA 3.0. Recommends via matrix completion. 2421 views, 0 downloads, 0 comments. Last edited by kidzik. Sep 13, 2011, 20:16 CET. License: CC-BY-SA 3.0. 2754 views, 0 downloads, 0 comments. Last edited by kidzik. Last edited by kidzik.

mldata.org mldata.org

mldata :: About

http://www.mldata.org/about/0

You are here: Home. This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning). Http:/ www.pascal-network.org/. 2009-2016 Mikio L. Braun. Patrik O. Hoyer.

mlbench.org mlbench.org

mldata :: Repository :: :: CHEMDNER task of BioCreative IV

http://www.mlbench.org/repository/data/viewslug/chemdner-task-of-biocreative-iv

You are here: Home. View / CHEMDNER task of BioCreative IV. View CHEMDNER task of BioCreative IV (public). 2015-07-14 11:16 by krallinger Version 1 Rating. Overall (based on 0 votes). Because others depend on it. CHEMDNER Task: Chemical compound and drug name recognition task. Targz (18.3 MB). Files are converted on demand and the process can take up to a minute. Please wait until download begins. Completeness of this item currently: 100%. Data (first 10 data points). By krallinger on 2015-07-14 11:16.

mlbench.org mlbench.org

mldata :: About

http://www.mlbench.org/about

You are here: Home. We built this web site as a repository for your machine learning data. Upload your data, find interesting data sets, define learning tasks and challenges, exchange solutions and compare yourself against other methods. This repository manages the following types of objects. Raw data as a collection of similarily structured objects. Descriptions of the computational pipeline. Learning tasks defined on raw data. Collections of tasks which have a particular theme. What to do next:.

mldata.org mldata.org

mldata :: About :: Impressum

http://mldata.org/about/impressum

You are here: Home. The host of this Internet web site is the Technische Universität Berlin. Prof Dr. Kurt Kutzler. Straße des 17. Juni 135. Telephone: 49 (0)30 314-0. Fax: 49 (0)30 314-23222. The value added tax identification number of the TU Berlin is DE 811 231 089. The editors responsible for the content of this site:. ML Group TU Berlin. Email: soeren.sonnenburg at tu-berlin.de. Telephone: 49 (0)30 314-78630. Fax: 49 (0)30 314-78622. Http:/ www.pascal-network.org/. Mikio L. Braun.

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Cheng Soon Ong

Principal researcher at the Machine Learning Research Group. As well as the community sites mloss.org. CSIT Building 108, Australia National University, Canberra ACT 2601.

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