Evaluating the complexity and falsifiability of psychological models.
Sign Up to like & getrecommendations! Published in 2023 at "Psychological review"
DOI: 10.1037/rev0000421
Abstract: Understanding model complexity is important for developing useful psychological models. One way to think about model complexity is in terms of the predictions a model makes and the ability of empirical evidence to falsify those… read more here.
Keywords: psychological models; falsifiability; model complexity; model ... See more keywords
Evaluating the effect of data-richness and model complexity in the prediction of coastal sediment loading in Solomon Islands
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DOI: 10.1088/1748-9326/abc8ba
Abstract: Global biophysical data are increasingly accessible due to improvements in remote sensing and open datasets. These datasets can be of particular value in remote and data-poor environments to enable estimates of water quality impacts from… read more here.
Keywords: sediment; catchment; model; data richness ... See more keywords
Model Complexity in Statistical Manifolds: The Role of Curvature
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DOI: 10.1109/tit.2022.3176470
Abstract: Model complexity plays an essential role in its selection, namely, by choosing a model that fits the data and is also succinct. Two-part codes and the minimum description length have been successful in delivering procedures… read more here.
Keywords: role; model complexity; model; curvature ... See more keywords
Feature engineering with clinical expert knowledge: A case study assessment of machine learning model complexity and performance
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DOI: 10.1371/journal.pone.0231300
Abstract: Incorporating expert knowledge at the time machine learning models are trained holds promise for producing models that are easier to interpret. The main objectives of this study were to use a feature engineering approach to… read more here.
Keywords: machine; machine learning; expert knowledge; performance ... See more keywords
Optimal model complexity for terrestrial carbon cycle prediction
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DOI: 10.5194/bg-18-2727-2021
Abstract: Abstract. The terrestrial carbon cycle plays a critical role in modulating the interactions of climate with the Earth system, but different models often make vastly different predictions of its behavior. Efforts to reduce model uncertainty… read more here.
Keywords: model; carbon cycle; complexity; model complexity ... See more keywords