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- Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
- ECML
- 2004

Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to the problem ofâ€¦ (More)

- Amitava Karmaker, Stephen Kwek
- Fifth International Conference on Hybridâ€¦
- 2005

Ensemble methods have been known to improve prediction accuracy over the base learning algorithm. AdaBoost is well-recognized for that in its class. However, it is susceptible to overfitting theâ€¦ (More)

- Sally A. Goldman, Stephen Kwek, Stephen D. Scott
- J. Comput. Syst. Sci.
- 2001

Goldberg, Goldman, and Scott demonstrated how the problem of recognizing a landmark from a onedimensional visual image can be mapped to that of learning a one-dimensional geometric pattern and gave aâ€¦ (More)

- Stephen Kwek, Kurt Mehlhorn
- Inf. Process. Lett.
- 2003

- Kihoon Yoon, Stephen Kwek
- Fifth International Conference on Hybridâ€¦
- 2005

Learning from imbalanced data occurs very frequently in functional genomic applications. One positive example to thousands of negative instances is common in scientific applications. Unfortunately,â€¦ (More)

- Sally A. Goldman, Stephen Kwek, Stephen D. Scott
- Inf. Comput.
- 2003

We introduce the UAV learning model in which some of the attributes in the examples are unspecified. In our model, an example x is classified positive (resp., negative) if all possible assignmentsâ€¦ (More)

- Stephen Kwek
- WADS
- 1997

We present a simple depth-rst search strategy for exploring (constructing) an unknown strongly connected graph G with m edges and n vertices by traversing at most min(mn; dn 2 + m) edges. Here, d isâ€¦ (More)

- Kihoon Yoon, Stephen Kwek
- Neural Computing and Applications
- 2007

Learning from imbalanced data occurs frequently in many machine learning applications. One positive example to thousands of negative instances is common in scientific applications. Unfortunately,â€¦ (More)

- Sally A. Goldman, Stephen Kwek, Stephen D. Scott
- COLT
- 1997

1 INTRODUCTION We introduce the UAV learning model in which some of the attributes in the examples are un-specified. In our model. an example 2 is classified positive (resp., negative) if allâ€¦ (More)

- Stephen Kwek, Leonard Pitt
- Algorithmica
- 1998

A randomized learning algorithm {POLLY} is presented that efficiently learns intersections of s halfspaces in n dimensions, in time polynomial in both s and n . The learning protocol is the PACâ€¦ (More)