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» On the limits of dictatorial classification
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ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
14 years 1 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
SIGSOFT
2007
ACM
14 years 8 months ago
Towards incremental adaptive covering arrays
The increasing complexity of configurable software systems creates a need for more intelligent sampling mechanisms to detect and locate failure-inducing dependencies between confi...
Adam A. Porter, Myra B. Cohen, Sandro Fouché...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 8 months ago
Time series shapelets: a new primitive for data mining
Classification of time series has been attracting great interest over the past decade. Recent empirical evidence has strongly suggested that the simple nearest neighbor algorithm ...
Lexiang Ye, Eamonn J. Keogh
CHI
2006
ACM
14 years 8 months ago
Using hybrid networks for the analysis of online software development communities
Social network-based systems usually suffer from two major limitations: they tend to rely on a single data source (e.g. email traffic), and the form of network patterns is often p...
Yevgeniy Eugene Medynskiy, Nicolas Ducheneaut, Aym...
KDD
2006
ACM
149views Data Mining» more  KDD 2006»
14 years 8 months ago
Regularized discriminant analysis for high dimensional, low sample size data
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...
Jieping Ye, Tie Wang