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» Informative sampling for large unbalanced data sets
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112
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NECO
2007
90views more  NECO 2007»
15 years 3 months ago
Neighborhood Property-Based Pattern Selection for Support Vector Machines
Support Vector Machine (SVM) has been spotlighted in the machine learning community thanks to its theoretical soundness and practical performance. When applied to a large data set...
Hyunjung Shin, Sungzoon Cho
SIGMOD
2007
ACM
169views Database» more  SIGMOD 2007»
16 years 3 months ago
Scalable approximate query processing with the DBO engine
This paper describes query processing in the DBO database system. Like other database systems designed for ad-hoc, analytic processing, DBO is able to compute the exact answer to ...
Christopher M. Jermaine, Subramanian Arumugam, Abh...
ICCD
2004
IEEE
87views Hardware» more  ICCD 2004»
16 years 15 days ago
Fetch Halting on Critical Load Misses
As the performance gap between processors and memory systems increases, the CPU spends more time stalled waiting for data from main memory. Critical long latency instructions, suc...
Nikil Mehta, Brian Singer, R. Iris Bahar, Michael ...
RE
2002
Springer
15 years 3 months ago
Converging on the Optimal Attainment of Requirements
Planning for the optimal attainment of requirements is an important early lifecycle activity. However, such planning is difficult when dealing with competing requirements, limited...
Martin S. Feather, Tim Menzies
263
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DAGM
2011
Springer
14 years 3 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann