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PAKDD
2011
ACM
12 years 10 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
PAKDD
2011
ACM
13 years 1 months ago
2011
ACM
Discovering rare categories and classifying new instances of them is
an important data mining issue in many fields, but fully supervised
learning of a rare class classifier is pr...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into K clusters and represents each cluster by a simple pr...
ICCAD
2001
IEEE
14 years 4 months ago
2001
IEEE
: This paper describes ASF, a novel cell-level analog synthesis framework that can size and bias a given circuit topology subject to a set of performance objectives and a manufactu...
IFL
2004
Springer
2004
Springer
Exploiting Single-Assignment Properties to Optimize Message-Passing Programs by Code Transformations
14 years 1 months ago
The message-passing paradigm is now widely accepted and used mainly for inter-process communication in distributed memory parallel systems. However, one of its disadvantages is the...