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Journals in DBLP

Machine Learning
2006, volume: 64, number: 1-3

  1. Tamás Horváth, Akihiro Yamamoto
    Foreword. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:3-4 [Journal]
  2. Asmir Tobudic, Gerhard Widmer
    Relational IBL in classical music. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:5-24 [Journal]
  3. Simon Colton, Stephen Muggleton
    Mathematical applications of inductive logic programming. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:25-64 [Journal]
  4. 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]
  5. Kurt Driessens, Jan Ramon, Thomas Gärtner
    Graph kernels and Gaussian processes for relational reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:91-119 [Journal]
  6. Marta Arias, Roni Khardon
    Complexity parameters for first order classes. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:121-144 [Journal]
  7. Rui Camacho, Ross D. King, Ashwin Srinivasan
    Guest editorial. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:145-147 [Journal]
  8. Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski
    First order random forests: Learning relational classifiers with complex aggregates. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:149-182 [Journal]
  9. Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.
    Randomised restarted search in ILP. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:183-208 [Journal]
  10. Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen Muggleton
    Application of abductive ILP to learning metabolic network inhibition from temporal data. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:209-230 [Journal]
  11. Mark Goadrich, Louis Oliphant, Jude W. Shavlik
    Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:231-261 [Journal]
  12. Tolga Könik, John E. Laird
    Learning goal hierarchies from structured observations and expert annotations. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2006, v:64, n:1-3, pp:263-287 [Journal]
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