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» Distributed Regression for Heterogeneous Data Sets
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BMCBI
2008
126views more  BMCBI 2008»
13 years 8 months ago
NITPICK: peak identification for mass spectrometry data
Background: The reliable extraction of features from mass spectra is a fundamental step in the automated analysis of proteomic mass spectrometry (MS) experiments. Results: This co...
Bernhard Y. Renard, Marc Kirchner, Hanno Steen, Ju...
DEXA
2009
Springer
201views Database» more  DEXA 2009»
14 years 3 months ago
Dynamic Query Processing for P2P Data Services in the Cloud
With the trend of cloud computing, data and computing are moved away from desktop and are instead provided as a service from the cloud. Data-as-a-service enables access to a wealth...
Pawel Jurczyk, Li Xiong
EUROPAR
2010
Springer
13 years 9 months ago
Maestro: Data Orchestration and Tuning for OpenCL Devices
Abstract. As heterogeneous computing platforms become more prevalent, the programmer must account for complex memory hierarchies in addition to the difficulties of parallel program...
Kyle Spafford, Jeremy S. Meredith, Jeffrey S. Vett...
MA
2010
Springer
114views Communications» more  MA 2010»
13 years 6 months ago
Finite-sample inference with monotone incomplete multivariate normal data, II
We continue our recent work on finite-sample, i.e., non-asymptotic, inference with two-step, monotone incomplete data from Nd(µ, Σ), a multivariate normal population with mean ...
Wan-Ying Chang, Donald St. P. Richards
BMCBI
2010
182views more  BMCBI 2010»
13 years 8 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...