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This is in contrast to structure inference (or causal inference) models which also infer the causal structure of the multisensory observations.
The brain uses regularities in the sound environment to build inference models predicting the most likely attributes of subsequent sounds.
A majority of studies have proposed mode inference models based on hand-crafted features and traditional machine learning algorithms.
Computational models of human cognition, in particular work on hierarchical Bayesian inference models, inform much of the research in the lab.
Lack of an experimental gold standard for the problem of evolutionary inference models and methods (e.g., sequence alignment, phylogenetic tree inference, orthology calling) has resulted in diametrically opposite conclusions provided by different benchmarking studies30,31.
According to these input parameters, in the multilayer feed-forward neural networks and Sugeno-type fuzzy inference models, the compressive strength of mortars containing metakaolin are predicted.
This chapter focuses on the design and implementation of fuzzy neural networks that use neural network techniques to realize fuzzy rule-based systems under different fuzzy inference models.
The results are discussed with respect to a possible co-reliance of CPT-IP and inference models on the inferior frontal gyrus.
This study is designed to explore the capacity to use information about when a deviant sound will occur to switch between inference models in memory.
This paper aims at providing an in-depth overview of designing interpretable fuzzy inference models from data within a unified framework.
To predict the expression values for the genes unique to the HG-U133 Plus 2.0 platform, we constructed a series of gene expression inference models based on genes common to both platforms.
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