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» Measuring High-Performance Computing with Real Applications
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ALT
2003
Springer
13 years 9 months ago
Efficiently Learning the Metric with Side-Information
Abstract. A crucial problem in machine learning is to choose an appropriate representation of data, in a way that emphasizes the relations we are interested in. In many cases this ...
Tijl De Bie, Michinari Momma, Nello Cristianini
DKE
2008
79views more  DKE 2008»
13 years 5 months ago
Extracting k most important groups from data efficiently
We study an important data analysis operator, which extracts the k most important groups from data (i.e., the k groups with the highest aggregate values). In a data warehousing co...
Man Lung Yiu, Nikos Mamoulis, Vagelis Hristidis
BMCBI
2006
169views more  BMCBI 2006»
13 years 5 months ago
Beyond microarrays: Finding key transcription factors controlling signal transduction pathways
Background: Massive gene expression changes in different cellular states measured by microarrays, in fact, reflect just an "echo" of real molecular processes in the cell...
Alexander E. Kel, Nico Voss, Ruy Jauregui, Olga V....
QSHINE
2009
IEEE
14 years 2 days ago
Integration of OMF-Based Testbeds in a Global-Scale Networking Facility
PlanetLab is a global scale platform for experimentation of new networking applications in a real environment. It consists of several nodes, offered by academic institutions or co...
Giovanni Di Stasi, Stefano Avallone, Roberto Canon...