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» Evaluating Usefulness for Dynamic Classification
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AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
13 years 9 months ago
Software Defect Prediction Using Regression via Classification
In this paper we apply a machine learning approach to the problem of estimating the number of defects called Regression via Classification (RvC). RvC initially automatically discr...
Stamatia Bibi, Grigorios Tsoumakas, Ioannis Stamel...
SIGIR
2002
ACM
13 years 7 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
MICRO
2009
IEEE
326views Hardware» more  MICRO 2009»
14 years 2 months ago
DDT: design and evaluation of a dynamic program analysis for optimizing data structure usage
Data structures define how values being computed are stored and accessed within programs. By recognizing what data structures are being used in an application, tools can make app...
Changhee Jung, Nathan Clark
PDPTA
1996
13 years 9 months ago
Evaluation of Dynamic Data Distributions on NUMA Shared Memory Multiprocessors
Dynamic data distributions offer a number of performance benefits, but require more sophisticated compiler support and incur run-time overhead. We investigate attainable benefits ...
Tarek S. Abdelrahman, Kenneth L. Ma
ATAL
2008
Springer
13 years 9 months ago
Evaluating the performance of DCOP algorithms in a real world, dynamic problem
Complete algorithms have been proposed to solve problems modelled as distributed constraint optimization (DCOP). However, there are only few attempts to address real world scenari...
Robert Junges, Ana L. C. Bazzan