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David Page: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sreenivas R. Sukumar, David Page, Andrei Gribok, Andreas Koschan, Mongi A. Abidi
    Shape Measure for Identifying Perceptually Informative Parts of 3D Objects. [Citation Graph (0, 0)][DBLP]
    3DPVT, 2006, pp:679-686 [Conf]
  2. David Page
    ILP: Just Do It. [Citation Graph (0, 0)][DBLP]
    Computational Logic, 2000, pp:25-40 [Conf]
  3. Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Vítor Santos Costa
    An Integrated Approach to Learning Bayesian Networks of Rules. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:84-95 [Conf]
  4. Irene M. Ong, Inês de Castro Dutra, David Page, Vítor Santos Costa
    Mode Directed Path Finding. [Citation Graph (0, 0)][DBLP]
    ECML, 2005, pp:673-681 [Conf]
  5. Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik, Michael Waddell
    Toward Automatic Management of Embarrassingly Parallel Applications. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2003, pp:509-516 [Conf]
  6. Hendrik Blockeel, David Page, Ashwin Srinivasan
    Multi-instance tree learning. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:57-64 [Conf]
  7. Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
    Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. [Citation Graph (0, 0)][DBLP]
    ICML, 2000, pp:199-206 [Conf]
  8. Bernard Rosell, Lisa Hellerstein, Soumya Ray, David Page
    Why skewing works: learning difficult Boolean functions with greedy tree learners. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:728-735 [Conf]
  9. Soumya Ray, David Page
    Multiple Instance Regression. [Citation Graph (0, 0)][DBLP]
    ICML, 2001, pp:425-432 [Conf]
  10. Soumya Ray, David Page
    Sequential skewing: an improved skewing algorithm. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  11. Soumya Ray, David Page
    Generalized skewing for functions with continuous and nominal attributes. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:705-712 [Conf]
  12. Jesse Davis, Elizabeth S. Burnside, Inês de Castro Dutra, David Page, Raghu Ramakrishnan, Vítor Santos Costa, Jude W. Shavlik
    View Learning for Statistical Relational Learning: With an Application to Mammography. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2005, pp:677-683 [Conf]
  13. David Page, Soumya Ray
    Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2003, pp:601-612 [Conf]
  14. Jesse Davis, Irene M. Ong, Jan Struyf, Elizabeth S. Burnside, David Page, Vítor Santos Costa
    Change of Representation for Statistical Relational Learning. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2007, pp:2719-2726 [Conf]
  15. Héctor Corrada Bravo, David Page, Raghu Ramakrishnan, Jude W. Shavlik, Vítor Santos Costa
    A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment. [Citation Graph (0, 0)][DBLP]
    ILP, 2005, pp:69-86 [Conf]
  16. Inês de Castro Dutra, David Page, Vítor Santos Costa, Jude W. Shavlik
    An Empirical Evaluation of Bagging in Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:48-65 [Conf]
  17. Stephen Muggleton, David Page, Ashwin Srinivasan
    An Initial Experiment into Stereochemistry-Based Drug Design Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:25-40 [Conf]
  18. David Page
    ILP: Just Do It. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:3-18 [Conf]
  19. Filip Zelezný, Ashwin Srinivasan, David Page
    Lattice-Search Runtime Distributions May Be Heavy-Tailed. [Citation Graph (0, 0)][DBLP]
    ILP, 2002, pp:333-345 [Conf]
  20. Filip Zelezný, Ashwin Srinivasan, David Page
    A Monte Carlo Study of Randomised Restarted Search in ILP. [Citation Graph (0, 0)][DBLP]
    ILP, 2004, pp:341-358 [Conf]
  21. Mark Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner
    A Probabilistic Learning Approach to Whole-Genome Operon Prediction. [Citation Graph (0, 0)][DBLP]
    ISMB, 2000, pp:116-127 [Conf]
  22. Irene M. Ong, Jeremy D. Glasner, David Page
    Modelling regulatory pathways in E. coli from time series expression profiles. [Citation Graph (0, 0)][DBLP]
    ISMB, 2002, pp:241-248 [Conf]
  23. Stephen Muggleton, David Page
    A Learnability Model for Universal Representations and Its Application to Top-down Induction of Decision Trees. [Citation Graph (0, 0)][DBLP]
    Machine Intelligence 15, 1995, pp:248-267 [Conf]
  24. David Page, Paul K. Clark, Daniela Mehandjiska-Stavreva
    An Abstract Definition of Graphical Notations for Object-Oriented Information Systems. [Citation Graph (0, 0)][DBLP]
    OOIS, 1994, pp:266-276 [Conf]
  25. Daniela Mehandjiska-Stavreva, David Page, Paul K. Clark
    Development of an Intelligent Object-Oriented CASE Tool. [Citation Graph (0, 0)][DBLP]
    OOIS, 1994, pp:215-226 [Conf]
  26. Daniela Mehandjiska-Stavreva, David Page, Mi Duk Choi
    Meta-Modelling and Methodology Support in Object-Oriented CASE Tools. [Citation Graph (0, 0)][DBLP]
    OOIS, 1996, pp:370-0 [Conf]
  27. Daniela Mehandjiska-Stavreva, David Page, Jonanthan Ham
    Template Generator for a Methodology Independent Object-Oriented Case Tool. [Citation Graph (0, 0)][DBLP]
    OOIS, 1995, pp:232-247 [Conf]
  28. Vítor Santos Costa, David Page, Maleeha Qazi, James Cussens
    CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:517-524 [Conf]
  29. Chris Phillips, Steven Adams, David Page, Daniela Mehandjiska
    The Design of the Client User Interface for a Meta Object-Oriented CASE Tool. [Citation Graph (0, 0)][DBLP]
    TOOLS (28), 1998, pp:156-167 [Conf]
  30. Michael Molla, Michael Waddell, David Page, Jude W. Shavlik
    Using Machine Learning to Design and Interpret Gene-Expression Microarrays. [Citation Graph (0, 0)][DBLP]
    AI Magazine, 2004, v:25, n:1, pp:23-44 [Journal]
  31. Joseph Bockhorst, Mark Craven, David Page, Jude W. Shavlik, Jeremy D. Glasner
    A Bayesian Network Approach to Operon Prediction. [Citation Graph (0, 0)][DBLP]
    Bioinformatics, 2003, v:19, n:10, pp:1227-1235 [Journal]
  32. Stephen Muggleton, David Page
    Guest Editors' Introduction: Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    J. Log. Program., 1999, v:40, n:2-3, pp:125-126 [Journal]
  33. David Page, Ashwin Srinivasan
    ILP: A Short Look Back and a Longer Look Forward. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:415-430 [Journal]
  34. Paul W. Finn, Stephen Muggleton, David Page, Ashwin Srinivasan
    Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1998, v:30, n:2-3, pp:241-270 [Journal]
  35. Stephen Muggleton, David Page
    Guest Editors' Introduction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1997, v:26, n:2-3, pp:97-98 [Journal]
  36. Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King
    Quantitative pharmacophore models with inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:65-90 [Journal]
  37. Jie Cheng, Christor Hatzis, Hisashi Hayashi, Mark-A. Krogel, Shinichi Morishita, David Page, Jun Sese
    KDD Cup 2001 Report. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2002, v:3, n:2, pp:47-64 [Journal]
  38. David Page, Mark Craven
    Biological applications of multi-relational data mining. [Citation Graph (0, 0)][DBLP]
    SIGKDD Explorations, 2003, v:5, n:1, pp:69-79 [Journal]
  39. Jesse Davis, Vítor Santos Costa, Soumya Ray, David Page
    An integrated approach to feature invention and model construction for drug activity prediction. [Citation Graph (0, 0)][DBLP]
    ICML, 2007, pp:217-224 [Conf]

  40. Sensor planning for automated and persistent object tracking with multiple cameras. [Citation Graph (, )][DBLP]


  41. Information Extraction for Clinical Data Mining: A Mammography Case Study. [Citation Graph (, )][DBLP]


  42. Sensor planning for PTZ cameras using the probability of camera overload. [Citation Graph (, )][DBLP]


  43. CLP(BN): Constraint Logic Programming for Probabilistic Knowledge. [Citation Graph (, )][DBLP]


  44. An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge. [Citation Graph (, )][DBLP]


  45. Using dynamic programming to create isotopic distribution maps from mass spectra. [Citation Graph (, )][DBLP]


  46. Matching isotopic distributions from metabolically labeled samples. [Citation Graph (, )][DBLP]


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