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» Classifier Selection Based on Data Complexity Measures
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DCC
2006
IEEE
16 years 1 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
ISCC
2009
IEEE
152views Communications» more  ISCC 2009»
15 years 8 months ago
Perceptual based voice multi-hop transmission over wireless sensor networks
Abstract—Multimedia applications over wireless sensor networks (WSNs) are rapidly gaining interest by the research community in order to develop new and mission critical services...
M. Petracca, G. Litovsky, A. Rinotti, Marco Tacca,...
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 7 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...
MIR
2010
ACM
167views Multimedia» more  MIR 2010»
15 years 8 months ago
Improving automatic music classification performance by extracting features from different types of data
This paper discusses two sets of automatic musical genre classification experiments. Promising research directions are then proposed based on the results of these experiments. The...
Cory McKay, Ichiro Fujinaga
BMCBI
2005
100views more  BMCBI 2005»
15 years 1 months ago
Speeding disease gene discovery by sequence based candidate prioritization
Background: Regions of interest identified through genetic linkage studies regularly exceed 30 centimorgans in size and can contain hundreds of genes. Traditionally this number is...
Euan A. Adie, Richard R. Adams, Kathryn L. Evans, ...