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