Sentence examples for most probabilities and from inspiring English sources

Despite this, most probabilities and weights did not significantly differ by gender.

Margin sampling: involves choosing the instance with the least margin between the class with most probability and the one with the secondmost probability.

The probability density function for the Negative Symptom subscale shows the highest peak around scores in the 18 to 27 range indicating these score are the most probable, and that the probability trails off more gradually above this region than below, indicating positive skewness, and is a consequence of the rating relatively more higher scores than lower scores for this subscale (see Figure 12).

The moderate and severe skeptic analyses show most probabilities of reaching any meaningful RRR in the single digits.

Robust features are its large width on a logscale and the fact that most probability mass is between effective neutrality and lethality [ 46, 47].

The imposition of the requirement that the prediction must be strong enough, i.e. that the difference between the probability of the predicted (most probable) state and the probability of the second most probable state must be larger than a certain minimum value also improves significantly secondary structure predictions.

Given that most probability values are considered in the U0 and U1 phases, no U2 alignment is needed for Slider (Table 1).

We use Bayesian phylogenetic methods and a Markov chain Monte Carlo algorithm is used to obtain the most probable trees and posterior probabilities of clades.

As a result, the apps and tools that seemingly make your life so easy, are in most probability leaking, if not pouring personal information about you or your family onto the internet in ways you may or may not be aware of.

Least-confident sampling: involves choosing the instance with the least probability of belonging to the class with the most probability.

The three metrics, based on the work of Settles [18] and Friedman et al. [12], are described below: 1. Least-confident sampling: involves choosing the instance with the least probability of belonging to the class with the most probability.