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» Classifier Selection Based on Data Complexity Measures
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BMCBI
2010
113views more  BMCBI 2010»
14 years 9 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...
IR
2002
14 years 9 months ago
An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
CCECE
2009
IEEE
15 years 4 months ago
Inverse data transformation for change detection in wind turbine diagnostics
A complex system is expected to show different nominal behaviors under different conditions, and the deviation over time from these nominal behaviors is an indicator of potential ...
Yanjun Yan, Lisa Ann Osadciw, Glen Benson, Eric Wh...
VIS
2007
IEEE
144views Visualization» more  VIS 2007»
15 years 11 months ago
Enhancing Depth-Perception with Flexible Volumetric Halos
Volumetric data commonly has high depth complexity which makes it difficult to judge spatial relationships accurately. There are many different ways to enhance depth perception, su...
Stefan Bruckner, M. Eduard Gröller
IDA
2006
Springer
14 years 10 months ago
Sequential patterns for text categorization
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...
Simon Jaillet, Anne Laurent, Maguelonne Teisseire