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Wilson proposed a class of neuronal network models that generalize rivalry to multiple competing patterns.

As a result and as mentioned in Sections 2.1 and 3.1, obtaining (ML-based) models that generalize over different databases might prove difficult.

Gradual covering and cooperative covering are two new developments in covering location models that generalize binary coverage and individual coverage, respectively.

We demonstrate that the multi-field approach gives a way to obtain families of models that generalize classical ones and are valid not only for long-, but also for short-wavelength deformations of the structural solids.

For repeated events data with censored failure, the independent increment (AG), marginal (WLW) and conditional (PWP) models are three multiple failure models that generalize Cox's proportional hazard model.

We build on earlier work on Bayesian interpolation to design efficient methods for explicit selection guided by model evidence, since there is strong indication that the evidence prefers simple models that generalize fairly well.

Similar(54)

In both case studies, we constructed parsimonious models that generalized well from cell lines to patients.

Fig. 2 A model that generalizes the BoVW.

In this article, we suggest a theoretical model that generalizes the standard one for nanoscale fat fractals.

Berman et al. (2009) developed an ordered gradual covering location problem (OGCLP) model that generalizes the p-center, p-median, p-covering, and gradual covering models.

We first describe a stochastic neural network model that generalizes the neural master equation [17, 18, 20] by incorporating synaptic dynamics.

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