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FLAIRS
2001
15 years 7 months ago
A Practical Markov Chain Monte Carlo Approach to Decision Problems
Decisionand optimizationproblemsinvolvinggraphsarise in manyareas of artificial intelligence, including probabilistic networks, robot navigation, and network design. Manysuch prob...
Timothy Huang, Yuriy Nevmyvaka
ISAAC
2003
Springer
95views Algorithms» more  ISAAC 2003»
15 years 11 months ago
Finding a Length-Constrained Maximum-Density Path in a Tree
Let T = (V, E, w) be an undirected and weighted tree with node set V and edge set E, where w(e) is an edge weight function for e ∈ E. The density of a path, say e1, e2, . . . , e...
Rung-Ren Lin, Wen-Hsiung Kuo, Kun-Mao Chao
FLAIRS
2007
15 years 8 months ago
Structure Information in Decision Trees and Similar Formalisms
In attempting to address real-life decision problems, where uncertainty about input data prevails, some kind of representation of imprecise information is important and several ha...
Mats Danielson, Love Ekenberg, David Sundgren
AIPS
2008
15 years 8 months ago
Learning Relational Decision Trees for Guiding Heuristic Planning
The current evaluation functions for heuristic planning are expensive to compute. In numerous domains these functions give good guidance on the solution, so it worths the computat...
Tomás de la Rosa, Sergio Jiménez, Da...
SAC
2009
ACM
16 years 26 days ago
LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction
Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
Márcio P. Basgalupp, Rodrigo C. Barros, And...