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ICML
2004
IEEE
16 years 7 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
WWW
2007
ACM
16 years 7 months ago
Ontology engineering using volunteer labor
We describe an approach designed to reduce the costs of ontology development through the use of untrained, volunteer knowledge engineers. Results are provided from an experiment i...
Benjamin M. Good, Mark D. Wilkinson
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 7 months ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
CAV
2009
Springer
156views Hardware» more  CAV 2009»
16 years 1 months ago
Towards Performance Prediction of Compositional Models in Industrial GALS Designs
Systems and Networks on Chips (NoCs) are a prime design focus of many hardware manufacturers. In addition to functional verification, which is a difficult necessity, the chip desi...
Nicolas Coste, Holger Hermanns, Etienne Lantreibec...
CAISE
2009
Springer
16 years 1 months ago
Measuring and Comparing Effectiveness of Data Quality Techniques
Abstract. Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this pape...
Lei Jiang, Daniele Barone, Alexander Borgida, John...