219 search results - page 4 / 44 » Optimal dyadic decision trees |
EGC
2009
Springer
13 years 8 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
13 years 2 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...
AAAI
2012
12 years 22 days 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
14 years 3 months ago
2004
Springer
CORR
2006
Springer
13 years 10 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...