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Causal Identification with Additive Noise Models: Quantifying the Effect of Noise
One class of such methods, that also allows tackling the bivariate case, is based on Additive Noise Models (ANMs).
How Nonconformity Functions and Difficulty of Datasets Impact the Efficiency of Conformal Classifiers
The property of conformal predictors to guarantee the required accuracy rate makes this framework attractive in various practical applications.
SCR-Apriori for Mining `Sets of Contrasting Rules'
In this paper, we propose an efficient algorithm for mining novel `Set of Contrasting Rules'-pattern (SCR-pattern), which consists of several association rules.
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