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KBS
2002
88views more  KBS 2002»
13 years 7 months ago
Mining the optimal class association rule set
We define an optimal class association rule set to be the minimum rule set with the same predictive power of the complete class association rule set. Using this rule set instead o...
Jiuyong Li, Hong Shen, Rodney W. Topor
CVPR
2008
IEEE
14 years 9 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty
DMIN
2006
138views Data Mining» more  DMIN 2006»
13 years 9 months ago
Mining Complete Hybrid Sequential Patterns
We discovered that the set of frequent hybrid sequential patterns obtained by previous researches is incomplete, due to the inapplicability of the Apriori principle. We design and ...
Chichang Jou
BMCBI
2007
106views more  BMCBI 2007»
13 years 7 months ago
Simultaneous identification of long similar substrings in large sets of sequences
Background: Sequence comparison faces new challenges today, with many complete genomes and large libraries of transcripts known. Gene annotation pipelines match these sequences in...
Jürgen Kleffe, Friedrich Möller, Burghar...
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 28 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi