Sentence examples for intersection probability from inspiring English sources

The present paper outlines two approaches based on successive approximation both to find the intersection point and to estimate the intersection probability.

The block failure likelihood of the remaining joint intersections is proportional to two independent parameters: (1) the joint intersection probability and (2) the block instability parameter.

Suppose that the volume space covered by a network sensor is V s and the volume space covered by intruder is V i. P r (V i ∩V s ) is the coverage spaces intersection probability of an intruder and a sensor.

We develop here a rigorous joint intersection probability expression based on simple frequency probability considerations which predicts that the probability for x in the rock mass to fall in joint intersection Li,j,k is inversely proportional to the volume of the parallelepiped formed by joints i,j,k with mean spacing values xi, xj, xk P(x∈Li,j,k)="1/Vi,j,k∑l≠r≠s= 1m1/Vl,r,r.

The simplest approach to solving the problem was quickly uncovered by Mark #1: Write on each intersection the probability that the ant survives, with 1 on the horizontal edges and 0 on the vertical edges.

Indeed, the decision maker concludes that he is at the first intersection with probability 1/2.

A mobile node can probabilistically move straight, turn right, or turn left at the intersections with probabilities of 0.5, 0.25, or 0.25, respectively.

In 1988, Simon postulated a theory to predict the prevalence of brain tumours in pregnant patients by using the intersection of the probability of being pregnant at any given time with the probability of having a brain tumour at a specific age and sex.

The attack thresholds δ1 and δ2 are both chosen as an energy level, which is the right intersection of two probability density functions (PDFs) under hypotheses H0 and H1 of each SU.

We showed a clear bimodal distribution in all our samples, using the mixture model of two Gaussian distributions with optimal cut-off at the intersection of the probability density functions [ 9].

The optimal threshold being the intersection between the probability density curves of the marker multiplied by R in the non-diseased group, a change in NB/ NC or in prevalence would only change the shapes of the curves whose intersection has to be found.