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Stephen Kwek: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
    Real-Valued Multiple-Instance Learning with Queries. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:167-180 [Conf]
  2. Sally A. Goldman, Stephen Kwek
    On Learning Unions of Pattern Languages and Tree Patterns. [Citation Graph (0, 0)][DBLP]
    ATL, 1999, pp:347-363 [Conf]
  3. Stephen Kwek
    Learning Intermediate Concepts. [Citation Graph (0, 0)][DBLP]
    ALT, 2001, pp:151-166 [Conf]
  4. Stephen Kwek
    Learning Disjunctions of Features. [Citation Graph (0, 0)][DBLP]
    ALT, 1997, pp:401-415 [Conf]
  5. Stephen Kwek
    An Efficient Algorithm for Learning Upper Convex Polyhedra Using Membership Queries. [Citation Graph (0, 0)][DBLP]
    AMAI, 2000, pp:- [Conf]
  6. Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
    Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:333-343 [Conf]
  7. Paul W. Goldberg, Stephen Kwek
    The Precision of Query Points as a Resource for Learning Convex Polytopes with Membership Queries. [Citation Graph (0, 0)][DBLP]
    COLT, 2000, pp:225-235 [Conf]
  8. Sally A. Goldman, Stephen Kwek, Stephen D. Scott
    Learning from Examples with Unspecified Attribute Values (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:231-242 [Conf]
  9. Sally A. Goldman, Stephen Kwek, Stephen D. Scott
    Agnostic Learning of Geometric Patterns (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:325-333 [Conf]
  10. Stephen Kwek
    An Apprentice Learning Model (extended abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:63-74 [Conf]
  11. Stephen Kwek, Leonard Pitt
    PAC Learning Intersections of Halfspaces with Membership Queries (Extended Abstract). [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:244-254 [Conf]
  12. Rehan Akbani, Stephen Kwek
    Adapting Support Vector Machines to Predict Translation Initiation Sites the Human Genome. [Citation Graph (0, 0)][DBLP]
    CSB Workshops, 2005, pp:143-148 [Conf]
  13. Rehan Akbani, Stephen Kwek, Nathalie Japkowicz
    Applying Support Vector Machines to Imbalanced Datasets. [Citation Graph (0, 0)][DBLP]
    ECML, 2004, pp:39-50 [Conf]
  14. Stephen Kwek, Chau Nguyen
    iBoost: Boosting Using an i nstance-Based Exponential Weighting Scheme. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:245-257 [Conf]
  15. David P. Helmbold, Stephen Kwek, Leonard Pitt
    Learning When to Trust Which Experts. [Citation Graph (0, 0)][DBLP]
    EuroCOLT, 1997, pp:134-149 [Conf]
  16. Amitava Karmaker, Stephen Kwek
    A Boosting Approach to remove Class Label Noise. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:206-211 [Conf]
  17. Kihoon Yoon, Stephen Kwek
    An Unsupervised Learning Approach to Resolving the Data Imbalanced Issue in Supervised Learning Problems in Functional Genomics. [Citation Graph (0, 0)][DBLP]
    HIS, 2005, pp:303-308 [Conf]
  18. Stephen Kwek
    On a Simple Depth-First Search Strategy for Exploring Unknown Graphs. [Citation Graph (0, 0)][DBLP]
    WADS, 1997, pp:345-353 [Conf]
  19. Stephen Kwek, Leonard Pitt
    PAC Learning Intersections of Halfspaces with Membership Queries. [Citation Graph (0, 0)][DBLP]
    Algorithmica, 1998, v:22, n:1/2, pp:53-75 [Journal]
  20. Peter Auer, Stephen Kwek, Wolfgang Maass, Manfred K. Warmuth
    Learning of Depth Two Neural Networks with Constant Fan-in at the Hidden Nodes [Citation Graph (0, 0)][DBLP]
    Electronic Colloquium on Computational Complexity (ECCC), 2000, v:7, n:55, pp:- [Journal]
  21. Sally A. Goldman, Stephen Kwek, Stephen D. Scott
    Learning from examples with unspecified attribute values. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2003, v:180, n:2, pp:82-100 [Journal]
  22. Amitava Karmaker, Stephen Kwek
    A boosting approach to remove class label noise. [Citation Graph (0, 0)][DBLP]
    Int. J. Hybrid Intell. Syst., 2006, v:3, n:3, pp:169-177 [Journal]
  23. Stephen Kwek, Kurt Mehlhorn
    Optimal search for rationals. [Citation Graph (0, 0)][DBLP]
    Inf. Process. Lett., 2003, v:86, n:1, pp:23-26 [Journal]
  24. Daniel R. Dooly, Sally A. Goldman, Stephen Kwek
    Real-valued multiple-instance learning with queries. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2006, v:72, n:1, pp:1-15 [Journal]
  25. Sally A. Goldman, Stephen Kwek, Stephen D. Scott
    Agnostic Learning of Geometric Patterns. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 2001, v:62, n:1, pp:123-151 [Journal]
  26. Sally A. Goldman, Stephen Kwek
    On learning unions of pattern languages and tree patterns in the mistake bound model. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:288, n:2, pp:237-254 [Journal]
  27. Amitava Karmaker, Stephen Kwek
    An iterative refinement approach for data cleaning. [Citation Graph (0, 0)][DBLP]
    Intell. Data Anal., 2007, v:11, n:5, pp:547-560 [Journal]
  28. Kihoon Yoon, Stephen Kwek
    A data reduction approach for resolving the imbalanced data issue in functional genomics. [Citation Graph (0, 0)][DBLP]
    Neural Computing and Applications, 2007, v:16, n:3, pp:295-306 [Journal]

  29. Identification of cis-Regulatory Elements from Cross-Genome Comparison and Gene Expression Profile Analysis. [Citation Graph (, )][DBLP]


  30. An Approach for Analyzing DNA Copy Number Aberrations in Genome Using aCGH Profiles. [Citation Graph (, )][DBLP]


  31. Species Independent Protein Localization Prediction for Multi-compartmentalized Proteins. [Citation Graph (, )][DBLP]


  32. Discovery of Transcription Factors Using Protein Subcellular Localization Prediction and Gene Expression Profile Analysis. [Citation Graph (, )][DBLP]


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