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» A Case Study for Learning from Imbalanced Data Sets
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SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 3 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
MP
2011
14 years 8 months ago
Statistical ranking and combinatorial Hodge theory
We propose a number of techniques for obtaining a global ranking from data that may be incomplete and imbalanced — characteristics that are almost universal to modern datasets co...
Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
AIME
2007
Springer
15 years 7 months ago
An Intelligent Aide for Interpreting a Patient's Dialysis Data Set
Many machines used in the modern hospital settings offer real time physiological monitoring. Haemodialysis machines combine a therapeutic treatment system integrated with sophistic...
Derek H. Sleeman, Nick Fluck, Elias Gyftodimos, La...
BMCBI
2007
140views more  BMCBI 2007»
15 years 1 months ago
From genes to functional classes in the study of biological systems
Background: With the popularisation of high-throughput techniques, the need for procedures that help in the biological interpretation of results has increased enormously. Recently...
Fátima Al-Shahrour, Leonardo Arbiza, Hern&a...
IJISTA
2007
136views more  IJISTA 2007»
15 years 1 months ago
Optimisation-on-a-manifold for global registration of multiple 3D point sets
: We propose a novel algorithm to register multiple 3D point sets within a common reference frame simultaneously. Our approach performs an explicit optimisation on the manifold of ...
Shankar Krishnan, Pei Yean Lee, John B. Moore, Sur...