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» Predicate Selection for Structural Decision Trees
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NIPS
2004
13 years 6 months ago
Using Random Forests in the Structured Language Model
In this paper, we explore the use of Random Forests (RFs) in the structured language model (SLM), which uses rich syntactic information in predicting the next word based on words ...
Peng Xu, Frederick Jelinek
BMCBI
2005
100views more  BMCBI 2005»
13 years 5 months ago
EvDTree: structure-dependent substitution profiles based on decision tree classification of 3D environments
Background: Structure-dependent substitution matrices increase the accuracy of sequence alignments when the 3D structure of one sequence is known, and are successful e.g. in fold ...
Jean-Christophe Gelly, Laurent Chiche, Jér&...
ISMB
1993
13 years 6 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
ACL
1996
13 years 6 months ago
Generating an LTAG out of a Principle-based Hierarchical Representation
Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92). We p...
Marie-Hélène Candito
ICDE
2002
IEEE
130views Database» more  ICDE 2002»
14 years 6 months ago
Structural Joins: A Primitive for Efficient XML Query Pattern Matching
XML queries typically specify patterns of selection predicates on multiple elements that have some specified tree structured relationships. The primitive tree structured relations...
Shurug Al-Khalifa, H. V. Jagadish, Jignesh M. Pate...