Sentence examples for model selection mechanism from inspiring English sources

To perform comprehensive phylogenetic analysis with a model selection mechanism without monotonous manipulations of data input/output, this work describes the design of an intuitive framework for phylogenetic reconstruction with automatic likelihood model selectors (PALM).

To ensure a thorough and efficient analysis and avert tedious manipulations of various programs, this work presents an intuitive framework, the phylogenetic reconstruction with automatic likelihood model selectors (PALM), with convincing, updated algorithms and a best-fit model selection mechanism for seamless phylogenetic analysis.

In general, however, for consistent estimation one needs to model the selection mechanisms of the two spouses jointly.

With such model and the selection mechanism, it is ensured that the load of a sensor does not exceed its available capacity.

One remaining difference between our theory and a unitary attentional system selecting multiple locations is that our theory includes two independent selection mechanisms, whereas a unitary-attention model has only one selection mechanism that selects perceptual stimuli as well as objects in WM.

Other variations on modeling the dose selection mechanism were using different dose intervals.

The Bayesian Ying Yang (BYY) harmony learning theory has brought about a new mechanism that model selection on Gaussian mixture can be made automatically during parameter learning via maximization of a harmony function on finite mixture defined through a specific bidirectional architecture (BI-architecture) of the BYY learning system.

Comprehensive analysis of the first sequenced whole organism Ig repertoire, as provided by Weinstein et al., resulted in the following conclusions: By comparing somatic mutation exchange across silent and replacement mutations, a remarkable similarity between human and ZF was evident, a similarity that places the ZF within a proper context as a relevant model for studying selection mechanisms.

Finally, the efficiency of this model as an autonomous robot action selection mechanism is assessed in a standard survival task.

These posterior probabilities give the inferred statistical support for each mechanism, derived from model selection performed with approximate Bayesian computation (ABC) (Beaumont et al., 2002; Toni et al., 2009; Sunnåker et al., 2013; Johnston, 2014) using uniform priors.

Essential revisions: The manuscript's biological conclusions predominantly rely on the interpretation of dynamic experimental data (which appear to be of good quality) with dynamic mathematical models, including Bayesian model selection for the inference of potential mechanisms.