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» Learning Classifiers from Semantically Heterogeneous Data
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INFORMS
2007
123views more  INFORMS 2007»
13 years 8 months ago
Constructing Ensembles from Data Envelopment Analysis
It has been shown in prior work in management science, statistics and machine learning that using an ensemble of models often results in better performance than using a single ‘...
Zhiqiang Zheng, Balaji Padmanabhan
MICCAI
2009
Springer
14 years 6 months ago
Fast Automatic Segmentation of the Esophagus from 3D CT Data Using a Probabilistic Model
Automated segmentation of the esophagus in CT images is of high value to radiologists for oncological examinations of the mediastinum. It can serve as a guideline and prevent confu...
Johannes Feulner, Shaohua Kevin Zhou, Alexander Ca...
CORR
2000
Springer
84views Education» more  CORR 2000»
13 years 8 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
ESWA
2006
149views more  ESWA 2006»
13 years 9 months ago
An effective refinement strategy for KNN text classifier
Due to the exponential growth of documents on the Internet and the emergent need to organize them, the automated categorization of documents into predefined labels has received an...
Songbo Tan
WISE
2002
Springer
14 years 1 months ago
PTC : Proxies that Transcode and Cache in Heterogeneous Web Client Environments
Advances in computing and communication technologies have resulted in a wide variety of networked mobile devices that access data over the Internet. In this paper, we argue that s...
Aameek Singh, Abhishek Trivedi, Krithi Ramamritham...