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ICS
2005
Tsinghua U.
14 years 1 months ago
What is worth learning from parallel workloads?: a user and session based analysis
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Julia Zilber, Ofer Amit, David Talby
BMCBI
2008
86views more  BMCBI 2008»
13 years 8 months ago
Piecewise multivariate modelling of sequential metabolic profiling data
Background: Modelling the time-related behaviour of biological systems is essential for understanding their dynamic responses to perturbations. In metabolic profiling studies, the...
Mattias Rantalainen, Olivier Cloarec, Timothy M. D...
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
14 years 8 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
ICEIS
2003
IEEE
14 years 1 months ago
Incremental Horizontal Fragmentation of Database Class Objects
: Horizontal fragments of a class in an object-oriented database system contain subsets of the class extent or instance objects. These fragments are created with a set of system in...
Christie I. Ezeife, Pinakpani Dey
COLT
2005
Springer
14 years 1 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...