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» A general algorithm for data dependence analysis
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 1 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
SIGMOD
2009
ACM
140views Database» more  SIGMOD 2009»
15 years 10 months ago
Estimating the confidence of conditional functional dependencies
Conditional functional dependencies (CFDs) have recently been proposed as extensions of classical functional dependencies that apply to a certain subset of the relation, as specif...
Graham Cormode, Lukasz Golab, Flip Korn, Andrew Mc...
SIGSOFT
2010
ACM
14 years 8 months ago
Representation dependence testing using program inversion
The definition of a data structure may permit many different concrete representations of the same logical content. A (client) program that accepts such a data structure as input i...
Aditya Kanade, Rajeev Alur, Sriram K. Rajamani, Ga...
IDEAL
2005
Springer
15 years 3 months ago
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...
Mark Wakabayashi, John Hawkins, Stefan Maetschke, ...