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» Data Mining: Machine Learning, Statistics, and Databases
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178
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BMCBI
2010
153views more  BMCBI 2010»
15 years 3 months ago
MimoSA: a system for minimotif annotation
Background: Minimotifs are short peptide sequences within one protein, which are recognized by other proteins or molecules. While there are now several minimotif databases, they a...
Jay Vyas, Ronald J. Nowling, Thomas Meusburger, Da...
155
Voted
ICDE
2011
IEEE
258views Database» more  ICDE 2011»
14 years 7 months ago
SystemML: Declarative machine learning on MapReduce
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
Amol Ghoting, Rajasekar Krishnamurthy, Edwin P. D....
120
Voted
KDD
2008
ACM
110views Data Mining» more  KDD 2008»
16 years 4 months ago
Mining preferences from superior and inferior examples
Mining user preferences plays a critical role in many important applications such as customer relationship management (CRM), product and service recommendation, and marketing camp...
Bin Jiang, Jian Pei, Xuemin Lin, David W. Cheung, ...
132
Voted
CAMP
2005
IEEE
15 years 9 months ago
Virtual Astronomy, Information Technology, and the New Scientific Methodology
—All sciences, including astronomy, are now entering the era of information abundance. The exponentially increasing volume and complexity of modern data sets promises to transfor...
S. George Djorgovski
130
Voted
ACL
2012
13 years 6 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer