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» Prediction on Spike Data Using Kernel Algorithms
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KBSE
2007
IEEE
15 years 8 months ago
The business case for automated software engineering
Adoption of advanced automated SE (ASE) tools would be favored if a business case could be made that these tools are more valuable than alternate methods. In theory, software pred...
Tim Menzies, Oussama El-Rawas, Jairus Hihn, Martin...
ICML
2008
IEEE
16 years 3 months ago
Laplace maximum margin Markov networks
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...
Jun Zhu, Eric P. Xing, Bo Zhang
SPIN
2000
Springer
15 years 6 months ago
Using Runtime Analysis to Guide Model Checking of Java Programs
This paper describes how two runtime analysis algorithms, an existing data race detection algorithm and a new deadlock detection algorithm, have been implemented to analyze Java pr...
Klaus Havelund
FLAIRS
2010
15 years 4 months ago
Correlating Shape and Functional Properties Using Decomposition Approaches
In this paper, we propose the application of standard decomposition approaches to find local correlations in multimodal data. In a test scenario, we apply these methods to correla...
Daniel Dornbusch, Robert Haschke, Stefan Menzel, H...
113
Voted
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
15 years 9 days ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla