Sentence examples for model the recurrent from inspiring English sources

The statistical models that we considered include the time-to-first-event survival model, the recurrent event survival model for a single event-type, the multivariate survival model for different event-types, and the multivariate recurrent survival model which takes into account both event-type and recurrent events.

a estimated from polymorphism data b from True et al. (1996) and Oritz-Barrientos et al. (2006) c from Haag-Liautard et al. (2007) d estimated from polymorphism data using Bierne & Eyre-Walker (2004) e estimated from polymorphism data using Wiehe & Stephan (1993) model In the recurrent hitchhiking model used, s and α (or λ) are conflated parameters and only their product can be estimated.

The TRNFS is a modified model of the recurrent fuzzy neural network (RFNN) to obtain generalization and fast convergence.

Relying on all the premises expressed above, the aim of this paper is to contribute to the literature by building a theoretical dynamic model addressing the recurrent issue of overcongestion afflicting the immigration hosting facilities of an increasing number of Italian municipalities.

The proposed model is tested with the English AMI speech recognition dataset and outperforms the baseline n-gram model, the basic recurrent neural network language models (RNNLM) and the GPU-based recurrent neural network language models (CUED-RNNLM) in perplexity and word error rate.

In the proposed method, it is assumed that the diagnosed system can be modelled by the recurrent neural network, which can be transformed into the linear parameter varying form.

In this study, the additive and multiplicative hazards regression models for the recurrent event duration analysis were examined and illustrated with a real dataset.

The findings indicate that multivariate models perform better than univariate models and that the recurrent neural network models outperform the ARIMA models.

Choice behaviour in the model emerges through the recurrent excitation within pyramidal populations and mutual inhibition between these excitatory populations via an inhibitory interneuron population.

Unlike the gamma-Poisson model, the independent-increment model does not assume the recurrent event rate is constant over time.

We call the proposed model the dynamically unfolding recurrent restorer (DURR).