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» Measuring the Complexity of Classification Problems
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BMCBI
2010
122views more  BMCBI 2010»
13 years 8 months ago
Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data
Background: Recent advances in proteomics technologies such as SELDI-TOF mass spectrometry has shown promise in the detection of early stage cancers. However, dimensionality reduc...
Kai-Lin Tang, Tong-Hua Li, Wen-Wei Xiong, Kai Chen
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 2 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
IPMI
2001
Springer
14 years 8 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...
ICCBR
2007
Springer
13 years 11 months ago
When Similar Problems Don't Have Similar Solutions
The performance of a Case-Based Reasoning system relies on the integrity of its case base but in real life applications the available data used to construct the case base invariabl...
Stewart Massie, Susan Craw, Nirmalie Wiratunga
ICPR
2006
IEEE
14 years 9 months ago
A New Data Selection Principle for Semi-Supervised Incremental Learning
Current semi-supervised incremental learning approaches select unlabeled examples with predicted high confidence for model re-training. We show that for many applications this dat...
Alexander I. Rudnicky, Rong Zhang