Patterns with unnatural statistical properties are uncomfortable to look at, and are processed inefficiently, according to computational models of the visual cortex.
An approach can benefit from the ILO scheme in order to gradually shape, for example, the interestingness function (typically not all patterns with same statistical properties are equally interesting) and the methodology (sequences of decisions to process the vast amount of heterogeneous databases) most appropriate to discover such interesting patterns.
Table 6 shows an illustrative set of the found pattern-based biclusters with statistical relevance.
The combination of untargeted spectral analysis of complex small molecule mixtures with statistical pattern recognition techniques for direct spectral comparison has transformed the study of metabolite associations with disease, gene function, and drug metabolism.
The present work proposes a neural network driven based solution to learning driving-induced stress patterns and correlating it with statistical, structural and time-frequency changes observed in the recorded biosignals.
In addition, since historical climate maps are developed from weather station observations that have been spatially interpolated to create a seamless map of climate information, we recommend that single grid cells not be used for making climate-related decisions, but rather decisions should be based on many grid cells showing regional patterns of climate change with statistical confidence.
We examined whether the resulting pattern of learning is more consistent with statistical learning being "bottom-up," constrained by the lower levels of organization, or "top-down," such that higher-order statistical information of the stimulus stream takes priority over perceptual organization and perhaps influences perceptual organization.
The rate of convergence of the iterative techniques is found to exhibit a systematic pattern with respect to changes in statistical parameters of the stochastically generated fracture networks.
The ENN technique is based on training a number of neural network (NN) models with statistical parameters from PD patterns and combining their predictions.
In this study, we applied a modified S2 metric, a weighted two-point correlation function (wS2), on continuous-valued (nonbinary) 11C-PiB PET to capture longitudinal changes in image spatial patterns with a single statistical function.
