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» Learning decision trees from dynamic data streams
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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...
109
Voted
CVPR
2004
IEEE
16 years 1 months ago
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine
We consider the problem of the binary classification on imbalanced data, in which nearly all the instances are labelled as one class, while far fewer instances are labelled as the...
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. ...
98
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CSL
2006
Springer
14 years 11 months ago
A study in machine learning from imbalanced data for sentence boundary detection in speech
Enriching speech recognition output with sentence boundaries improves its human readability and enables further processing by downstream language processing modules. We have const...
Yang Liu, Nitesh V. Chawla, Mary P. Harper, Elizab...
FTDCS
1999
IEEE
15 years 4 months ago
Lessons Learned from Building a Web-Based Spatial Data Discovery Facility
This paper discusses the lessons learned and decisions made while designing and developing a web-based application for the National Spatial Information Framework (NSIF) of South A...
Ferdie Danzfuss, Judith Bishop