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» Comparative Evaluation of Approaches to Propositionalization
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AICCSA
2006
IEEE
121views Hardware» more  AICCSA 2006»
15 years 8 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...
CASCON
2006
118views Education» more  CASCON 2006»
15 years 8 months ago
Ensuring behavioural equivalence in test-driven porting
In this paper we present a test-driven approach to porting code from one object-oriented language to another. We derive an order for the porting of the code, along with a testing ...
Mark Hennessy, James F. Power
FGCS
2008
140views more  FGCS 2008»
15 years 6 months ago
Blocking vs. non-blocking coordinated checkpointing for large-scale fault tolerant MPI Protocols
A long-term trend in high-performance computing is the increasing number of nodes in parallel computing platforms, which entails a higher failure probability. Fault tolerant progr...
Darius Buntinas, Camille Coti, Thomas Hérau...
JDWM
2007
122views more  JDWM 2007»
15 years 6 months ago
A Hyper-Heuristic for Descriptive Rule Induction
Rule induction from examples is a machine learning technique that finds rules of the form condition → class, where condition and class are logic expressions of the form variable...
Tho Hoan Pham, Tu Bao Ho
EMNLP
2010
15 years 4 months ago
Clustering-Based Stratified Seed Sampling for Semi-Supervised Relation Classification
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
Longhua Qian, Guodong Zhou