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CORR
2010
Springer
170views Education» more  CORR 2010»
13 years 8 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»
13 years 8 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»
13 years 8 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»
13 years 8 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»
13 years 8 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