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Machine Learning, Volume 64, 2006
Volume 64, Numbers 1-3, September 2006
- Tamás Horváth, Akihiro Yamamoto:
Foreword. 3-4 - Asmir Tobudic, Gerhard Widmer:
Relational IBL in classical music. 5-24 - Simon Colton, Stephen H. Muggleton:
Mathematical applications of inductive logic programming. 25-64 - Ashwin Srinivasan, David Page, Rui Camacho, Ross D. King:
Quantitative pharmacophore models with inductive logic programming. 65-90 - Kurt Driessens, Jan Ramon, Thomas Gärtner:
Graph kernels and Gaussian processes for relational reinforcement learning. 91-119 - Marta Arias, Roni Khardon:
Complexity parameters for first order classes. 121-144 - Rui Camacho, Ross D. King, Ashwin Srinivasan:
Guest editorial. 145-147 - Anneleen Van Assche, Celine Vens, Hendrik Blockeel, Saso Dzeroski:
First order random forests: Learning relational classifiers with complex aggregates. 149-182 - Filip Zelezný, Ashwin Srinivasan, C. David Page Jr.:
Randomised restarted search in ILP. 183-208 - Alireza Tamaddoni-Nezhad, Raphael Chaleil, Antonis C. Kakas, Stephen H. Muggleton:
Application of abductive ILP to learning metabolic network inhibition from temporal data. 209-230 - Mark Goadrich, Louis Oliphant, Jude W. Shavlik:
Gleaner: Creating ensembles of first-order clauses to improve recall-precision curves. 231-261 - Tolga Könik, John E. Laird:
Learning goal hierarchies from structured observations and expert annotations. 263-287
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