Sentence examples for inputs and prediction from inspiring English sources

Exact(2)

Characterization of neonatal personnel time inputs and prediction from clinical variables--a time and motion study.

Since the release of the first genome sequence >10 years ago, a large number of gene prediction tools were published using different data inputs and prediction methods in order to identify the location and exon intron structures of genes.

Similar(58)

The computation of the differences cancels out the activity of units where input and prediction match (explains away), and transmits the activity of those units where input and prediction mismatch (cf. Figs 1 and 2).

The mismatch arises because the presentation of the prime sets up a prediction for the response to subsequent inputs, and this prediction is carried by the backward connections from higher to lower levels in the hierarchy (see Fig. 1: B2, B3, B3).

The following research leads to a detailed trading model that provides a more effective and intelligent way for recognizing trading signals and assisting investors with trading decisions by utilizing a system that adapts both the inputs and the prediction model based on the desired output.

In other words, the trained net reduces as much as possible the "surprise" registered in the difference between the raw input and its prediction.

Perceptual inference is, from the predictive coding perspective, understood as an iterative process of prediction error minimization; therefore the internal models of the sensory input (and thus predictions generated by it) are only more (leading to smaller prediction error) or less (leading to larger prediction error) accurate approximations of the sensory input.

The first problem calculates the maximum achievable reduction in the number of input decision variables and prediction horizon length, subject to the controller's region of attraction containing a specified subset of the state space.

After the seven key variables are screened out, the ELM model will be constructed with realistic inputs and obtains improved prediction accuracy.

For example, an adversary might cause an autonomous vehicle to interpret a stop sign as a yield sign. "Building systems that are robust against adversarial inputs both during training and prediction will likely require the design of new machine-learning models and network architectures," said Dawn Song, an expert on AI and security and a RISELab member.

Developed in the 1960s, fuzzy logic can take inexact inputs and produce accurate predictions, based on sets of rules rather than mathematical equations.

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