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Jun 2, 2022 · The Bernoulli model addresses the island’s susceptibility under extreme conditions, such as those induced by Maria. It estimates how prone a given location is to host slope failures, but it is blind to how large landslides may become once they initiate and propagate downhill.
Jan 1, 2018 · This paper addresses the identification of Switched Nonlinear AutoRegressive eXogenous (SNARX) systems characterized as a collection of nonlinear dynamical systems (modes), each one described via a discrete time NARX model, indexed by a discrete-valued variable (switching signal).
- Federico Bianchi, Maria Prandini, Luigi Piroddi
- 2018
When classifying a test document, the Bernoulli model uses binary occurrence information, ignoring the number of occurrences, whereas the multinomial model keeps track of multiple occurrences. As a result, the Bernoulli model typically makes many mistakes when classifying long documents.
Hermann Karl Hesse ( German: [ˈhɛʁman ˈhɛsə] ⓘ; 2 July 1877 – 9 August 1962) was a German-Swiss poet, novelist, and painter. Although Hesse was born in Germany's Black Forest region of Swabia, his father's celebrated heritage as a Baltic German and his grandmother's French-Swiss roots had an intellectual influence on him.
Bernoulli Model. In the multivariate Bernoulli model, an object is a binary vector over the space of features. From: Data Mining Applications with R, 2014
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Apr 23, 2022 · Often in statistical applications, \(p\) is unknown and must be estimated from sample data. In this section, we will see how to construct interval estimates for the parameter from sample data. A parallel section on Tests in the Bernoulli Model is in the chapter on Hypothesis Testing.
