Sentence examples for probability to predict from inspiring English sources
The book introduces Hari Seldon, a brilliant visionary and psychohistorian whose job is to use mathematics and probability to predict the future.
The second is that it was founded by the statistician Nate Silver, who can fairly claim to have written the book when it comes to using statistics, data and probability to predict what will happen in sporting events, elections and much more besides.
Finally, Markov chain uses transitional probability to predict the likelihood of another candidate mode.
The duo behind Memo Box made a conscious decision that 'less is more' on the sensing hardware front, opting to focus on developing learning algorithms that utilize probability to predict whether medicine has been taken, rather than trying to pinpoint usage with "expensive and power hungry sensors".
The duo behind Memo Box made a conscious decision that 'less is more' on the sensing hardware front, opting to focus on developing learning algorithms that utilize probability to predict whether medicine has been taken, rather than trying to pinpoint usage with "expensive and power hungry sensors".
The highest probability to predict efficiently the intention of the upper limb movement corresponded to the contralateral central area of the brain.
However, in outcome prediction research we are interested in the estimates of a combination of predictive factors, which makes it possible to calculate absolute risks or probabilities to predict an outcome in individuals [ 82].
Based on panel data from the Health and Retirement Study, Hurd and McGarry [40] analyzed the ability of subjective survival probabilities to predict actual mortality.
To test the possibility of using phenotype probabilities to predict disease causal genes linked to GWAS SNPs, we need a Gold Standard Positive (GSP) dataset to quantify its performance.
To test our PBM model, and as a baseline, we next used the inferred binding probabilities to predict in vivo TF binding.
From a Bayesian perspective, the estimates of the propensity score are posterior probabilities to predict the allocation to exposure (X = t) under Z = z [ 32].
