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DCC
2006
IEEE
16 years 6 months ago
Compression and Machine Learning: A New Perspective on Feature Space Vectors
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...
D. Sculley, Carla E. Brodley
PDCAT
2007
Springer
16 years 23 days ago
A Distributed Virtual Machine for Parallel Graph Reduction
We present the architecture of nreduce, a distributed virtual machine which uses parallel graph reduction to run programs across a set of computers. It executes code written in a ...
Peter M. Kelly, Paul D. Coddington, Andrew L. Wend...
BICOB
2009
Springer
15 years 11 months ago
A New Machine Learning Approach for Protein Phosphorylation Site Prediction in Plants
Protein phosphorylation is a crucial regulatory mechanism in various organisms. With recent improvements in mass spectrometry, phosphorylation site data are rapidly accumulating. D...
Jianjiong Gao, Ganesh Kumar Agrawal, Jay J. Thelen...
MCS
2001
Springer
15 years 11 months ago
Dependence among Codeword Bits Errors in ECOC Learning Machines: An Experimental Analysis
One of the main factors affecting the effectiveness of ECOC methods for classification is the dependence among the errors of the computed codeword bits. We present an extensive ...
Francesco Masulli, Giorgio Valentini
HPDC
2007
IEEE
15 years 10 months ago
Transparent network services via a virtual traffic layer for virtual machines
We claim that network services can be transparently added to existing unmodified applications running inside virtual machine environments. Examples of these network services inclu...
John R. Lange, Peter A. Dinda