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» Unsupervised Learning with Mixed Numeric and Nominal Data
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FUZZIEEE
2007
IEEE
13 years 10 months ago
Using Orders of Magnitude and Nominal Variables to Construct Fuzzy Partitions
— The application of Qualitative Reasoning to Learning Algorithms can provide these models with the capability of automate common-sense and expert reasoning. Learning algorithms ...
Cati Olmo, Germán Sánchez, Francesc ...
PRL
2006
121views more  PRL 2006»
13 years 4 months ago
Information-preserving hybrid data reduction based on fuzzy-rough techniques
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
Qinghua Hu, Daren Yu, Zongxia Xie
JVCA
2007
151views more  JVCA 2007»
13 years 4 months ago
Organizing motions with a nominal description
Due to the success of motion capture technologies, large motion capture data becomes available. Although organizing large databases has been widely researched for various purposes...
Min Je Park, Jieun Cho
EMNLP
2008
13 years 6 months ago
Joint Unsupervised Coreference Resolution with Markov Logic
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
Hoifung Poon, Pedro Domingos