Sciweavers

ACL
1996
14 years 24 days 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
14 years 3 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
15 years 1 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