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ICDM
2003
IEEE
154views Data Mining» more  ICDM 2003»
15 years 7 months ago
Frequent Sub-Structure-Based Approaches for Classifying Chemical Compounds
In this paper we study the problem of classifying chemical compound datasets. We present a sub-structure-based classification algorithm that decouples the sub-structure discovery...
Mukund Deshpande, Michihiro Kuramochi, George Kary...
JEA
2008
112views more  JEA 2008»
15 years 1 months ago
Dynamic spatial approximation trees
The Spatial Approximation Tree (sa-tree) is a recently proposed data structure for searching in metric spaces. It has been shown that it compares favorably against alternative data...
Gonzalo Navarro, Nora Reyes
ECML
2006
Springer
15 years 5 months ago
Margin-Based Active Learning for Structured Output Spaces
In many complex machine learning applications there is a need to learn multiple interdependent output variables, where knowledge of these interdependencies can be exploited to impr...
Dan Roth, Kevin Small
CBMS
2009
IEEE
15 years 8 months ago
On the storage, management and analysis of (multi) similarity for large scale protein structure datasets in the grid
Assessment of the (Multi) Similarity among a set of protein structures is achieved through an ensemble of protein structure comparison methods/algorithms. This leads to the genera...
Gianluigi Folino, Azhar Ali Shah, Natalio Krasnogo...
TKDE
2010
190views more  TKDE 2010»
15 years 10 days ago
Effectively Indexing the Uncertain Space
—With the rapid development of various optical, infrared, and radar sensors and GPS techniques, there are a huge amount of multidimensional uncertain data collected and accumulat...
Ying Zhang, Xuemin Lin, Wenjie Zhang, Jianmin Wang...