1283 search results - page 30 / 257 » Learning Voting Trees |
CAI
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We generalize a learning algorithm originally devised for deterministic all-accepting weighted tree automata (wta) to the setting of arbitrary deterministic wta. The lear...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Classification trees are widely used in the machine learning and data mining communities for modeling propositional data. Recent work has extended this basic paradigm to probabili...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
We extend tree-based methods to the prediction of structured outputs using a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the...
TSP
2010
13 years 2 months ago
2010
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
AAAI
1998
13 years 9 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...