Sentence examples for learning probabilities from inspiring English sources

First, by evaluating the fitness value of each particle, a simple particle evolutionary fitness function is designed to control parameters involving acceleration coefficient, refreshing gap, learning probabilities and number of the potential exemplars automatically.

More specifically, for decision making, decreased deactivation in areas of the DM may imply that the process of learning probabilities of future events is impaired.

Instead of time consuming inference of probabilities of mildly context‐sensitive rules, we opted for learning probabilities of context‐free rules for parallel helix pairs, which linked residues at the opposing sites of helices.

Practically, two main approaches are used for learning probabilities of grammar rules: Expectation‐Maximization algorithms (EM) [ 12, 13, 15, 108] and evolutionary methods (e.g. Genetic Algorithms (GA) [ 37, 42, 109]‐ [ 115] or Genetic Programming (GP) [ 116, 117]).

Thirdly, the feedback fitness information of each particle is used to automatically design the learning probabilities.

Recently, a New York City middle school teacher described to me the activities she used to engage students in learning probability theory, a required part of the state curriculum.

The results show that students, the high, average and low achievers, gained benefits when the handheld technology instructional approaches were used in learning Probability, particularly random variable, poisson distribution, binomial distribution and normal distribution.

One model did not show differences in learning probability or time course: Mecp2R308/Y heterozygotes = 0.10, p = 0.7).

This is corroborated by a recent study investigating decision making under uncertainty in healthy subjects (D'Acremont et al., 2013); the authors employed a gambling task to investigate how subjects learn probabilities of future events irrespective of their (immediate) value.

"It's all numbers," he said, "a great way to learn probability, risk and reward".

While there he learned probability from Joseph Fourier and, conceivably, from Pierre-Simon Laplace.