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ORCIDMachine Learning, Volume 70, 2008
Volume 70, Number 1, January 2008
- Kai Quan Shen, Chong Jin Ong
, Xiaoping Li, Einar P. V. Wilder-Smith:
Feature selection via sensitivity analysis of SVM probabilistic outputs. 1-20 - Malik Magdon-Ismail, Joseph Sill:
A linear fit gets the correct monotonicity directions. 21-43 - Jan Drugowitsch, Alwyn Barry:
A formal framework and extensions for function approximation in learning classifier systems. 45-88 - Fabien Lauer, Gérard Bloch:
Incorporating prior knowledge in support vector regression. 89-118
Volume 70, Numbers 2-3, March 2008
- Stephen H. Muggleton, Ramón P. Otero, Simon Colton:
Guest editorial: special issue on Inductive Logic Programming. 119-120 - Stephen H. Muggleton, Alireza Tamaddoni-Nezhad:
QG/GA: a stochastic search for Progol. 121-133 - Érick Alphonse, Aomar Osmani:
On the connection between the phase transition of the covering test and the learning success rate in ILP. 135-150 - Luc De Raedt, Kristian Kersting, Angelika Kimmig, Kate Revoredo, Hannu Toivonen:
Compressing probabilistic Prolog programs. 151-168 - Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe:
Generalized ordering-search for learning directed probabilistic logical models. 169-188 - Ulrich Rückert, Stefan Kramer:
Margin-based first-order rule learning. 189-206 - Fabrizio Riguzzi:
ALLPAD: approximate learning of logic programs with annotated disjunctions. 207-223 - Sebastian Fröhler, Stefan Kramer:
Inductive logic programming for gene regulation prediction. 225-240
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