Sciweavers

ACL
1996
13 years 8 months ago
Compilation of Weighted Finite-State Transducers from Decision Trees
We report on a method for compiling decision trees into weighted finite-state transducers. The key assumptions are that the tree predictions specify how to rewrite symbols from an...
Richard Sproat, Michael Riley
FSTTCS
2006
Springer
13 years 10 months ago
Branching Pushdown Tree Automata
We observe that pushdown tree automata (PTAs) known in the literature cannot express combinations of branching and pushdown properties. This is because a PTA processes the children...
Rajeev Alur, Swarat Chaudhuri
ICCV
2005
IEEE
14 years 8 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu