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» Efficient Cross-Validation in ILP
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CORR
2000
Springer
120views Education» more  CORR 2000»
15 years 1 months ago
Scaling Up Inductive Logic Programming by Learning from Interpretations
When comparing inductive logic programming (ILP) and attribute-value learning techniques, there is a trade-off between expressive power and efficiency. Inductive logic programming ...
Hendrik Blockeel, Luc De Raedt, Nico Jacobs, Bart ...
DAC
2008
ACM
16 years 2 months ago
Concurrent topology and routing optimization in automotive network integration
In this paper, a novel automatic approach for the concurrent topology and routing optimization that achieves a high quality network layout is proposed. This optimization is based ...
Bardo Lang, Christian Haubelt, Jürgen Teich, ...
ICML
2005
IEEE
16 years 2 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
118
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ASPLOS
1992
ACM
15 years 6 months ago
Efficient Superscalar Performance Through Boosting
The foremost goal of superscalar processor design is to increase performance through the exploitation of instruction-level parallelism (ILP). Previous studies have shown that spec...
Michael D. Smith, Mark Horowitz, Monica S. Lam
TCBB
2008
122views more  TCBB 2008»
15 years 1 months ago
Mixed Integer Linear Programming for Maximum-Parsimony Phylogeny Inference
Reconstruction of phylogenetic trees is a fundamental problem in computational biology. While excellent heuristic methods are available for many variants of this problem, new adva...
Srinath Sridhar, Fumei Lam, Guy E. Blelloch, R. Ra...