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ML
2006
ACM
142views Machine Learning» more  ML 2006»
15 years 6 months ago
The max-min hill-climbing Bayesian network structure learning algorithm
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
Ioannis Tsamardinos, Laura E. Brown, Constantin F....
EVOW
2008
Springer
15 years 8 months ago
Improving the Performance of Hierarchical Classification with Swarm Intelligence
In this paper we propose a new method to improve the performance of hierarchical classification. We use a swarm intelligence algorithm to select the type of classification algorith...
Nicholas Holden, Alex Alves Freitas
DISOPT
2008
82views more  DISOPT 2008»
15 years 6 months ago
Note on pseudolattices, lattices and submodular linear programs
A pseudolattice L is a poset with lattice-type binary operations. Assuming that the pseudolattice permits a modular representation as a family of subsets of a set U with certain c...
Ulrich Faigle, Britta Peis