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AI
2006
Springer
13 years 4 months ago
Cut-and-solve: An iterative search strategy for combinatorial optimization problems
Branch-and-bound and branch-and-cut use search trees to identify optimal solutions to combinatorial optimization problems. In this paper, we introduce an iterative search strategy...
Sharlee Climer, Weixiong Zhang
FLAIRS
2008
13 years 7 months ago
A Backward Adjusting Strategy and Optimization of the C4.5 Parameters to Improve C4.5's Performance
In machine learning, decision trees are employed extensively in solving classification problems. In order to design a decision tree classifier two main phases are employed. The fi...
Jason R. Beck, Maria Garcia, Mingyu Zhong, Michael...
UM
2001
Springer
13 years 9 months ago
Utility-Based Decision Tree Optimization: A Framework for Adaptive Interviewing
Abstract: An emerging practice in e-commerce systems is to conduct interviews with buyers in order to identify their needs. The goal of such an interview is to determine sets of pr...
Markus Stolze, Michael Ströbel
AAAI
2012
11 years 7 months ago
Tree-Based Solution Methods for Multiagent POMDPs with Delayed Communication
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
Frans Adriaan Oliehoek, Matthijs T. J. Spaan