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» On Computable Tree Functions
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ICML
2004
IEEE
16 years 4 months ago
Training conditional random fields via gradient tree boosting
Conditional Random Fields (CRFs; Lafferty, McCallum, & Pereira, 2001) provide a flexible and powerful model for learning to assign labels to elements of sequences in such appl...
Thomas G. Dietterich, Adam Ashenfelter, Yaroslav B...
134
Voted
AAAI
2004
15 years 5 months ago
On the Optimality of Probability Estimation by Random Decision Trees
Random decision tree is an ensemble of decision trees. The feature at any node of a tree in the ensemble is chosen randomly from remaining features. A chosen discrete feature on a...
Wei Fan
156
Voted
IJCAI
1993
15 years 4 months ago
Learning Decision Lists over Tree Patterns and Its Application
This paper introduces a new concept, a decision tree (or list) over tree patterns, which is a natural extension of a decision tree (or decision list), for dealing with tree struct...
Satoshi Kobayashi, Koichi Hori, Setsuo Ohsuga
165
Voted
NAR
2007
109views more  NAR 2007»
15 years 3 months ago
GeneTrees: a phylogenomics resource for prokaryotes
The GeneTrees phylogenomics system pursues comparative genomic analyses from the perspective of gene phylogenies for individual genes. The GeneTrees project has the goal of provid...
Yuying Tian, Allan W. Dickerman
COLING
2010
14 years 10 months ago
Dependency-driven Anaphoricity Determination for Coreference Resolution
This paper proposes a dependency-driven scheme to dynamically determine the syntactic parse tree structure for tree kernel-based anaphoricity determination in coreference resoluti...
Fang Kong, Guodong Zhou, Longhua Qian, Qiaoming Zh...