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» From the Nearest Neighbour Rule to Decision Trees
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ACL
1997
15 years 1 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...
ICIP
2005
IEEE
16 years 1 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...
NAACL
2010
14 years 9 months ago
An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
We present a novel deterministic dependency parsing algorithm that attempts to create the easiest arcs in the dependency structure first in a non-directional manner. Traditional d...
Yoav Goldberg, Michael Elhadad
KDD
1998
ACM
148views Data Mining» more  KDD 1998»
15 years 3 months ago
Group Bitmap Index: A Structure for Association Rules Retrieval
Discovery of association rules from large databases of item sets is an important data mining problem. Association rules are usually stored in relational databases for future use i...
Tadeusz Morzy, Maciej Zakrzewicz
WWW
2006
ACM
16 years 12 days ago
Tables and trees don't mix (very well)
There are principal differences between the relational model and XML's tree model. This causes problems in all cases where information from these two worlds has to be brought...
Erik Wilde