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Journals in DBLP

Machine Learning
1989, volume: 4, number:

  1. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:5-6 [Journal]
  2. David Haussler
    Learning Conjunctive Concepts in Structural Domains. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:7-40 [Journal]
  3. Raymond A. Board, Leonard Pitt
    Semi-Supervised Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:41-65 [Journal]
  4. B. K. Natarajan
    On Learning Sets and Functions. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:67-97 [Journal]
  5. Kurt VanLehn
    Efficient Specialization of Relational Concepts. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:99-106 [Journal]
  6. Thomas G. Dietterich
    News and Notes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:107-109 [Journal]
  7. Jaime G. Carbonell
    Editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:113-115 [Journal]
  8. Paul O'Rorke
    LT Revisited: Explanation-Based Learning and the Logic of Principia Mathematica. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:117-159 [Journal]
  9. Paul E. Utgoff
    Incremental Induction of Decision Trees. [Citation Graph (2, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:161-186 [Journal]
  10. Nicholas S. Flann, Thomas G. Dietterich
    A Study of Explanation-Based Methods for Inductive Learning. [Citation Graph (1, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:187-226 [Journal]
  11. John Mingers
    An Empirical Comparison of Pruning Methods for Decision Tree Induction. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:227-243 [Journal]
  12. Bruce G. Buchanan
    Can Machine Learning Offer Anything to Expert Systems? [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:251-254 [Journal]
  13. Douglas B. Lenat
    When Will Machines Learn? [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:255-257 [Journal]
  14. Ray Bareiss, Bruce W. Porter, Kenneth S. Murray
    Supporting Start-to-Finish Development of Knowledge Bases. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:259-283 [Journal]
  15. William J. Clancey
    The Knowledge Level Reinterpreted: Modeling How Systems Interact. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:285-291 [Journal]
  16. Thomas R. Gruber
    Automated Knowledge Acquisition for Strategic Knowledge. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:293-336 [Journal]
  17. John P. McDermott
    The World Would Be a Better Place if Non-Programmers Could Program. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:337-338 [Journal]
  18. B. Chandrasekaran
    Task-Structures, Knowledge Acquisition and Learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:339-345 [Journal]
  19. Mark A. Musen
    Automated Support for Building and Extending Expert Models. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:347-375 [Journal]
  20. John H. Boose, Brian R. Gaines
    Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1989, v:4, n:, pp:377-394 [Journal]
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