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Rapid spline-based kernel density estimation for Bayesian networks
Yaniv Gurwicz
,
Boaz Lerner
Department of Electrical & Computer Engineering
Research output
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Contribution to conference
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Paper
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peer-review
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Dive into the research topics of 'Rapid spline-based kernel density estimation for Bayesian networks'. Together they form a unique fingerprint.
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Keyphrases
Bayesian Network
100%
Kernel Density Estimation
100%
Splines
100%
Naïve Bayesian Classifier
75%
Order of Magnitude
25%
Classification Accuracy
25%
Computational Cost
25%
Accurate Estimation
25%
Real-world Application
25%
Letting
25%
Real-time Database
25%
Training Set
25%
Probability Density Function
25%
Rapid Implementation
25%
Spline Approximation
25%
Continuous Attributes
25%
Computer Science
Naïve Bayesian Classifier
100%
Bayesian Networks
100%
World Application
33%
Computational Cost
33%
Probability Density
33%
Spline Approximation
33%
Material Science
Density
100%