219 search results - page 4 / 44 » Optimal dyadic decision trees |
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EGC
2009
Springer
14 years 7 months ago
2009
Springer
We present a new evaluation criterion for the induction of decision trees. We exploit a parameter-free Bayesian approach and propose an analytic formula for the evaluation of the p...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
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AAAI
2012
12 years 12 months ago
2012
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
GECCO
2004
Springer
15 years 2 months ago
2004
Springer
CORR
2006
Springer
14 years 9 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...