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AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
13 years 10 months ago
Accuracy Estimation With Clustered Dataset
If the dataset available to machine learning results from cluster sampling (e.g. patients from a sample of hospital wards), the usual cross-validation error rate estimate can lead...
Ricco Rakotomalala, Jean-Hugues Chauchat, Fran&cce...
CIDM
2009
IEEE
13 years 10 months ago
Empirical comparison of graph classification algorithms
The graph classification problem is learning to classify separate, individual graphs in a graph database into two or more categories. A number of algorithms have been introduced fo...
Nikhil S. Ketkar, Lawrence B. Holder, Diane J. Coo...
TVCG
2012
201views Hardware» more  TVCG 2012»
11 years 8 months ago
Exact and Approximate Area-Proportional Circular Venn and Euler Diagrams
— Scientists conducting microarray and other experiments use circular Venn and Euler diagrams to analyze and illustrate their results. As one solution to this problem, this artic...
Leland Wilkinson
ALT
2008
Springer
14 years 3 months ago
Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
Abstract. Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-...
Arthur Gretton, László Györfi
BMCBI
2008
128views more  BMCBI 2008»
13 years 6 months ago
Nonparametric relevance-shifted multiple testing procedures for the analysis of high-dimensional multivariate data with small sa
Background: In many research areas it is necessary to find differences between treatment groups with several variables. For example, studies of microarray data seek to find a sign...
Cornelia Frömke, Ludwig A. Hothorn, Siegfried...