Stephen Kwek

According to our database1, Stephen Kwek authored at least 37 papers between 1996 and 2007.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2007
A data reduction approach for resolving the imbalanced data issue in functional genomics.
Neural Comput. Appl., 2007

Identifying Transcription Regulatory Elements in the Human and Mouse Genomes Using Tissue-specific Gene Expression Profiles.
J. Integr. Bioinform., 2007

CGHsweep: An Algorithm for Analyzing Chromosomal Aberrations in Genome Using aCGH Profiles.
Silico Biol., 2007

iBoost: Boosting using an instance-based exponential weighting scheme.
Int. J. Hybrid Intell. Syst., 2007

An iterative refinement approach for data cleaning.
Intell. Data Anal., 2007

Discovery of Transcription Factors Using Protein Subcellular Localization Prediction and Gene Expression Profile Analysis.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

An Approach for Analyzing DNA Copy Number Aberrations in Genome Using aCGH Profiles.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

Identification of cis-Regulatory Elements from Cross-Genome Comparison and Gene Expression Profile Analysis.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2007

2006
Real-valued multiple-instance learning with queries.
J. Comput. Syst. Sci., 2006

Protein Subcellular Localization Prediction Using a Hybrid of Similarity Search and Error-Correcting Output Code Techniques That Produces Interpretable Results.
Silico Biol., 2006

A boosting approach to remove class label noise.
Int. J. Hybrid Intell. Syst., 2006

2005
An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics.
Proceedings of the 5th International Conference on Hybrid Intelligent Systems (HIS 2005), 2005

Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome.
Proceedings of the Fourth International IEEE Computer Society Computational Systems Bioinformatics Conference Workshops & Poster Abstracts, 2005

A filtering Approach to splice Site Predictions in Human genes.
Proceedings of the Advances in Bioinformatics and Its Applications, 2005

2004
Applying Support Vector Machines to Imbalanced Datasets.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Optimal search for rationals.
Inf. Process. Lett., 2003

Learning from examples with unspecified attribute values.
Inf. Comput., 2003

2002
On learning unions of pattern languages and tree patterns in the mistake bound model.
Theor. Comput. Sci., 2002

iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme.
Proceedings of the Machine Learning: ECML 2002, 2002

2001
Agnostic Learning of Geometric Patterns.
J. Comput. Syst. Sci., 2001

Learning Intermediate Concepts.
Proceedings of the Algorithmic Learning Theory, 12th International Conference, 2001

2000
Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes
Electron. Colloquium Comput. Complex., 2000

The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000

An Efficient Algorithm for Learning Upper Convex Polyhedra Using Membership Queries.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2000

1999
Distribution comparison for site-specific regression modeling in agriculture.
Proceedings of the International Joint Conference Neural Networks, 1999

An Apprentice Learning Model (extended abstract).
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

On Learning Unions of Pattern Languages and Tree Patterns.
Proceedings of the Algorithmic Learning Theory, 10th International Conference, 1999

1998
PAC Learning Intersections of Halfspaces with Membership Queries.
Algorithmica, 1998

1997
Geometric Concept Learning and Related Topics
PhD thesis, 1997

On a Simple Depth-First Search Strategy for Exploring Unknown Graphs.
Proceedings of the Algorithms and Data Structures, 5th International Workshop, 1997

Learning When to Trust Which Experts.
Proceedings of the Computational Learning Theory, Third European Conference, 1997

Agnostic Learning of Geometric Patterns (Extended Abstract).
Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

Learning from Examples with Unspecified Attribute Values (Extended Abstract).
Proceedings of the Tenth Annual Conference on Computational Learning Theory, 1997

Learning Disjunctions of Features.
Proceedings of the Algorithmic Learning Theory, 8th International Conference, 1997

1996
PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract).
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996

Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract).
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996


  Loading...