Machine Learning, Volume 70, 2008
Volume 70, Number 1, January 2008
Kai Quan Shen, Chong Jin Ong, Xiao Ping Li, Einar P. V. Wilder-Smith: Feature selection via sensitivity analysis of SVM probabilistic outputs. 1-20- Jan Drugowitsch, Alwyn Barry: A formal framework and extensions for function approximation in learning classifier systems. 45-88
Volume 70, Numbers 2-3, March 2008
- Stephen Muggleton, Ramón P. Otero, Simon Colton: Guest editorial: special issue on Inductive Logic Programming. 119-120
- 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
- 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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last updated on 2013-10-16T203152 by the dblp team