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» Performance prediction for set similarity joins
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BMCBI
2007
102views more  BMCBI 2007»
14 years 10 months ago
A comprehensive system for evaluation of remote sequence similarity detection
Background: Accurate and sensitive performance evaluation is crucial for both effective development of better structure prediction methods based on sequence similarity, and for th...
Yuan Qi, Ruslan Sadreyev, Yong Wang, Bong-Hyun Kim...
SIGMOD
2010
ACM
174views Database» more  SIGMOD 2010»
15 years 3 months ago
Sampling dirty data for matching attributes
We investigate the problem of creating and analyzing samples of relational databases to find relationships between string-valued attributes. Our focus is on identifying attribute...
Henning Köhler, Xiaofang Zhou, Shazia Wasim S...
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
14 years 8 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
BMCBI
2006
142views more  BMCBI 2006»
14 years 10 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
ISMIR
2005
Springer
206views Music» more  ISMIR 2005»
15 years 4 months ago
Improving Content-Based Similarity Measures by Training a Collaborative Model
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
Richard Stenzel, Thomas Kamps