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ESANN
2004
13 years 9 months ago
Neural networks for data mining: constrains and open problems
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
Razvan Andonie, Boris Kovalerchuk
ERCIMDL
2007
Springer
159views Education» more  ERCIMDL 2007»
14 years 1 months ago
Reducing Costs for Digitising Early Music with Dynamic Adaptation
Abstract. Optical music recognition (OMR) enables librarians to digitise early music sources on a large scale. The cost of expert human labour to correct automatic recognition erro...
Laurent Pugin, John Ashley Burgoyne, Ichiro Fujina...
PPOPP
2009
ACM
14 years 8 months ago
Detecting and tolerating asymmetric races
Because data races represent a hard-to-manage class of errors in concurrent programs, numerous approaches to detect them have been proposed and evaluated. We specifically consider...
Paruj Ratanaworabhan, Martin Burtscher, Darko Kiro...
BMCBI
2002
136views more  BMCBI 2002»
13 years 7 months ago
Making sense of EST sequences by CLOBBing them
Background: Expressed sequence tags (ESTs) are single pass reads from randomly selected cDNA clones. They provide a highly cost-effective method to access and identify expressed g...
John Parkinson, David B. Guiliano, Mark L. Blaxter
PASTE
2010
ACM
14 years 17 days ago
Opportunities for concurrent dynamic analysis with explicit inter-core communication
Multicore is now the dominant processor trend, and the number of cores is rapidly increasing. The paradigm shift to multicore forces the redesign of the software stack, which incl...
Jungwoo Ha, Stephen P. Crago