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» Predicting relative performance of classifiers from samples
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AIME
2009
Springer
14 years 26 days ago
Effect of Background Correction on Cancer Classification with Gene Expression Data
This paper empirically compares six background correction methods aimed at removing unspecific background noise of the overall signal level measured by a scanner across microarrays...
Adelaide Freitas, Gladys Castillo, Ana São ...
SC
2009
ACM
14 years 1 months ago
A framework for core-level modeling and design of reconfigurable computing algorithms
Reconfigurable computing (RC) is rapidly becoming a vital technology for many applications, from high-performance computing to embedded systems. The inherent advantages of custom-...
Gongyu Wang, Greg Stitt, Herman Lam, Alan D. Georg...
BMCBI
2007
148views more  BMCBI 2007»
13 years 9 months ago
p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
Background: The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis a...
Elisabetta Sbisà, Domenico Catalano, Giorgi...
DSRT
2009
IEEE
13 years 6 months ago
DCS: A Distributed Coordinate System for Network Positioning
Predicting latency between nodes on the internet can have a significant impact on the performance of many services that use latency distances among nodes as a decision making input...
Negar Hariri, Jafar Habibi, Shervin Shirmohammadi,...
AAAI
2008
13 years 11 months ago
Integrating Multiple Learning Components through Markov Logic
This paper addresses the question of how statistical learning algorithms can be integrated into a larger AI system both from a practical engineering perspective and from the persp...
Thomas G. Dietterich, Xinlong Bao