`Travelled to:`

1 × France

1 × Turkey

2 × Canada

4 × USA

`Collaborated with:`

J.M.Buhmann A.J.Smola K.H.Brodersen K.E.Stephan A.Zien G.Krummenacher A.G.Busetto A.K.Menon B.v.Rooyen B.Williamson F.Dinuzzo P.V.Gehler G.Pillonetto X.Mary S.Canu

`Talks about:`

learn (6) kernel (3) multipl (2) hyperkernel (1) multiclass (1) posterior (1) nonlinear (1) ellipsoid (1) distribut (1) accuraci (1)

## Person: Cheng Soon Ong

### DBLP: Ong:Cheng_Soon

### Contributed to:

### Wrote 9 papers:

- ICML-2015-MenonROW #estimation #learning
- Learning from Corrupted Binary Labels via Class-Probability Estimation (AKM, BvR, CSO, BW), pp. 125–134.
- ICML-c2-2013-KrummenacherOB #learning #multi
- Ellipsoidal Multiple Instance Learning (GK, CSO, JMB), pp. 73–81.
- ICML-2011-DinuzzoOGP #coordination #kernel #learning
- Learning Output Kernels with Block Coordinate Descent (FD, CSO, PVG, GP), pp. 49–56.
- ICPR-2010-BrodersenOSB
- The Balanced Accuracy and Its Posterior Distribution (KHB, CSO, KES, JMB), pp. 3121–3124.
- ICPR-2010-BrodersenOSB10a
- The Binormal Assumption on Precision-Recall Curves (KHB, CSO, KES, JMB), pp. 4263–4266.
- ICML-2009-BusettoOB
- Optimized expected information gain for nonlinear dynamical systems (AGB, CSO, JMB), pp. 97–104.
- ICML-2007-ZienO #kernel #learning #multi
- Multiclass multiple kernel learning (AZ, CSO), pp. 1191–1198.
- ICML-2004-OngMCS #kernel #learning
- Learning with non-positive kernels (CSO, XM, SC, AJS).
- ICML-2003-OngS #kernel #machine learning
- Machine Learning with Hyperkernels (CSO, AJS), pp. 568–575.