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» Semi-supervised Learning from General Unlabeled Data
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AAAI
1997
13 years 9 months ago
Symbolic Nearest Mean Classifiers
The minimum-distance classifier summarizes each class with a prototype and then uses a nearest neighbor approach for classification. Three drawbacks of the original minimum-distan...
Piew Datta, Dennis F. Kibler
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
14 years 8 months ago
The distributed boosting algorithm
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...
Aleksandar Lazarevic, Zoran Obradovic
GI
1998
Springer
14 years 11 days ago
Self-Organizing Data Mining
"KnowledgeMiner" was designed to support the knowledge extraction process on a highly automated level. Implemented are 3 different GMDH-type self-organizing modeling algo...
Frank Lemke, Johann-Adolf Müller
ICDM
2009
IEEE
198views Data Mining» more  ICDM 2009»
14 years 2 months ago
Information Extraction for Clinical Data Mining: A Mammography Case Study
Abstract—Breast cancer is the leading cause of cancer mortality in women between the ages of 15 and 54. During mammography screening, radiologists use a strict lexicon (BI-RADS) ...
Houssam Nassif, Ryan Woods, Elizabeth S. Burnside,...
MOBISYS
2007
ACM
14 years 7 months ago
Context-for-wireless: context-sensitive energy-efficient wireless data transfer
Ubiquitous connectivity on mobile devices will enable numerous new applications in healthcare and multimedia. We set out to check how close we are towards ubiquitous connectivity ...
Ahmad Rahmati, Lin Zhong