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» Chunking with Decision Trees
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80
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ACL
1997
14 years 11 months ago
Learning Features that Predict Cue Usage
Our goal is to identify the features that predict the occurrence and placement of discourse cues in tutorial explanations in order to aid in the automatic generation of explanatio...
Barbara Di Eugenio, Johanna D. Moore, Massimo Paol...
82
Voted
FOCS
2008
IEEE
14 years 10 months ago
Hardness of Nearest Neighbor under L-infinity
Recent years have seen a significant increase in our understanding of high-dimensional nearest neighbor search (NNS) for distances like the 1 and 2 norms. By contrast, our underst...
Alexandr Andoni, Dorian Croitoru, Mihai Patrascu
81
Voted
ICIP
2005
IEEE
15 years 12 months ago
Learning to binarize document images using a decision cascade
In this article, we propose a special type of decision tree, called a decision cascade, for binarizing document images. Such images are produced by cameras, resulting in varying de...
Chien-Hsing Chou, Chih-Ching Huang, Wen-Hsiung Lin...
94
Voted
LICS
2010
IEEE
14 years 8 months ago
Regular Cost Functions over Finite Trees
We develop the theory of regular cost functions over finite trees: a quantitative extension to the notion of regular languages of trees: Cost functions map each input (tree) to a v...
Thomas Colcombet, Christof Löding
ECAI
2004
Springer
15 years 3 months ago
Postponing Branching Decisions
Abstract. Solution techniques for Constraint Satisfaction and Optimisation Problems often make use of backtrack search methods, exploiting variable and value ordering heuristics. I...
Willem Jan van Hoeve, Michela Milano