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NIPS
2004
15 years 7 months ago
Instance-Specific Bayesian Model Averaging for Classification
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
Shyam Visweswaran, Gregory F. Cooper
ICSE
2008
IEEE-ACM
16 years 7 months ago
Scalable detection of semantic clones
Several techniques have been developed for identifying similar code fragments in programs. These similar fragments, referred to as code clones, can be used to identify redundant c...
Mark Gabel, Lingxiao Jiang, Zhendong Su
PPOPP
2009
ACM
16 years 6 months ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle
CIKM
2009
Springer
16 years 28 days ago
Graph classification based on pattern co-occurrence
Subgraph patterns are widely used in graph classification, but their effectiveness is often hampered by large number of patterns or lack of discrimination power among individual p...
Ning Jin, Calvin Young, Wei Wang
INFOVIS
2003
IEEE
15 years 11 months ago
Improving Hybrid MDS with Pivot-Based Searching
An algorithm is presented for the visualisation of multidimensional abstract data, building on a hybrid model introduced at InfoVis 2002. The most computationally complex stage of...
Alistair Morrison, Matthew Chalmers