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» Learning probabilistic models of tree edit distance
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ECAI
2000
Springer
13 years 9 months ago
Data Set Editing by Ordered Projection
In this paper, an editing algorithm based on the projection of the examples in each dimension is presented. The algorithm, that we have called EOP (Editing by Ordered Projection) h...
Jesús S. Aguilar-Ruiz, José Crist&oa...
ALT
2005
Springer
14 years 2 months ago
PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
We consider the problem of PAC-learning distributions over strings, represented by probabilistic deterministic finite automata (PDFAs). PDFAs are a probabilistic model for the gen...
Nick Palmer, Paul W. Goldberg
CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
13 years 10 months ago
Prokaryote Phylogeny without Sequence Alignment: From Avoidance Signature to Composition Distance
A new and essentially simple method to reconstruct prokaryotic phylogenetic trees from their complete genome data without using sequence alignment is proposed. It is based on the ...
Bailin Hao, Ji Qi
ACL
2008
13 years 6 months ago
Automatic Editing in a Back-End Speech-to-Text System
Written documents created through dictation differ significantly from a true verbatim transcript of the recorded speech. This poses an obstacle in automatic dictation systems as s...
Maximilian Bisani, Paul Vozila, Olivier Divay, Jef...
CVPR
2008
IEEE
14 years 7 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...