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JMLR
2008
104views more  JMLR 2008»
13 years 8 months ago
Learning Reliable Classifiers From Small or Incomplete Data Sets: The Naive Credal Classifier 2
In this paper, the naive credal classifier, which is a set-valued counterpart of naive Bayes, is extended to a general and flexible treatment of incomplete data, yielding a new cl...
Giorgio Corani, Marco Zaffalon
EMSOFT
2007
Springer
14 years 3 months ago
Performance estimation of distributed real-time embedded systems by discrete event simulations
Key challenges in the performance estimation of distributed real-time embedded (DRE) systems include the systematic measurement of coverage by simulations, and the automated gener...
Gabor Madl, Nikil Dutt, Sherif Abdelwahed
WCE
2007
13 years 10 months ago
Performance Modelling of the Computational Hardware: A Statistical Approach
—This paper proposes and uses multivariate methods as a tool to evaluate performances of the hardware of microcomputers using their performance data, speed and price. The evaluat...
Ibrahim Akman, Yasar Yesilcay
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
13 years 6 months 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
MCS
2010
Springer
13 years 6 months ago
Improving Multilabel Classification Performance by Using Ensemble of Multi-label Classifiers
Multilabel classification is a challenging research problem in which each instance is assigned to a subset of labels. Recently, a considerable amount of research has been concerned...
Muhammad Atif Tahir, Josef Kittler, Krystian Mikol...