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» Classifier Selection Based on Data Complexity Measures
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ICDE
2012
IEEE
246views Database» more  ICDE 2012»
13 years 4 months ago
HiCS: High Contrast Subspaces for Density-Based Outlier Ranking
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Fabian Keller, Emmanuel Müller, Klemens B&oum...
SIGIR
2005
ACM
15 years 7 months ago
Improving collection selection with overlap awareness in P2P search engines
Collection selection has been a research issue for years. Typically, in related work, precomputed statistics are employed in order to estimate the expected result quality of each ...
Matthias Bender, Sebastian Michel, Peter Triantafi...
SIGIR
2005
ACM
15 years 7 months ago
Server selection methods in hybrid portal search
The TREC .GOV collection makes a valuable web testbed for distributed information retrieval methods because it is naturally partitioned and includes 725 web-oriented queries with ...
David Hawking, Paul Thomas
137
Voted
ML
2010
ACM
127views Machine Learning» more  ML 2010»
15 years 8 days ago
Stability and model selection in k-means clustering
Abstract Clustering Stability methods are a family of widely used model selection techniques for data clustering. Their unifying theme is that an appropriate model should result in...
Ohad Shamir, Naftali Tishby
BMCBI
2008
119views more  BMCBI 2008»
15 years 1 months ago
Snagger: A user-friendly program for incorporating additional information for tagSNP selection
Background: There has been considerable effort focused on developing efficient programs for tagging single-nucleotide polymorphisms (SNPs). Many of these programs do not account f...
Christopher K. Edlund, Won H. Lee, Dalin Li, David...