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AAAI
1998
15 years 5 months ago
Generalizing Partial Order and Dynamic Backtracking
RecentlyFtwo new backtracking algorithmsF dynamic backtracking (DB)and partial order dynamicbacktracking (PDB) have been presented. These algorithms have the property to be additi...
Christian Bliek
ILP
2004
Springer
15 years 9 months ago
First Order Random Forests with Complex Aggregates
Random forest induction is a bagging method that randomly samples the feature set at each node in a decision tree. In propositional learning, the method has been shown to work well...
Celine Vens, Anneleen Van Assche, Hendrik Blockeel...
FOIKS
2008
Springer
15 years 5 months ago
Merging First-Order Knowledge Using Dilation Operators
The area of knowledge merging is concerned with merging conflicting information while preserving as much as possible. Most proposals in the literature work with knowledge bases exp...
Nikos Gorogiannis, Anthony Hunter
AMAI
2006
Springer
15 years 4 months ago
Strong order equivalence
Abstract. Recently, notions of equivalence for Answer Set Programming have been studied intensively and were shown to be beneficial for modular programming and automated optimizati...
Wolfgang Faber, Kathrin Konczak

Publication
404views
16 years 1 months ago
Bayesian variable order Markov models.
We present a simple, effective generalisation of variable order Markov models to full online Bayesian estimation. The mechanism used is close to that employed in context tree wei...
Christos Dimitrakakis