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CORR
2010
Springer
170views Education» more  CORR 2010»
14 years 12 months ago
Slow Adaptive OFDMA Systems Through Chance Constrained Programming
Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wire...
William Weiliang Li, Ying Jun Zhang, Anthony Man-C...
CSDA
2008
128views more  CSDA 2008»
14 years 12 months ago
Classification tree analysis using TARGET
Tree models are valuable tools for predictive modeling and data mining. Traditional tree-growing methodologies such as CART are known to suffer from problems including greediness,...
J. Brian Gray, Guangzhe Fan
CORR
2006
Springer
109views Education» more  CORR 2006»
14 years 12 months ago
On Conditional Branches in Optimal Decision Trees
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...
Michael B. Baer
BMCBI
2007
96views more  BMCBI 2007»
14 years 12 months ago
Features generated for computational splice-site prediction correspond to functional elements
Background: Accurate selection of splice sites during the splicing of precursors to messenger RNA requires both relatively well-characterized signals at the splice sites and auxil...
Rezarta Islamaj Dogan, Lise Getoor, W. John Wilbur...
FGCS
2007
160views more  FGCS 2007»
14 years 11 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He