As an undersized high-school outfielder, Mookie Betts did so well on the algorithmic test, Epstein said, that it was one of the reasons he selected him five rounds higher than he had originally projected in the 2011 draft.
"It looks like a computer game," he said, "but is really a very nuanced algorithmic test to assess a player's dynamic hand-eye coördination, reaction time, and inhibitory control, which is the ability for the brain to start an act and then stop it when it gets new information — like, say, laying off a breaking pitch".
TopTal prescreens developers using a combination of algorithmic tests, technical interviews, English/verbal interviews, and paired program- ming projects.
The data were temporally gap-filled using a simple interpolation if cloud or other algorithmic tests deemed the quality of a SST value to be poor.
Variations in the way samples are collected and stored in the clinic are always a difficult issue for the measurement of serum proteins with limited stability, but the problem will be magnified for multimarker, algorithmic tests, particularly if the component markers have different half lives in a blood sample.
Although one certainly does not want to use DA methods which could prove problematic if there is no perceived benefit (Day et al, 2005), the logistical and practical concerns can be addressed with proper algorithmic testing and attention (Buyse and McEntegart, 2004a).
Church and Turing, while seeking an algorithmic (mechanical) test for deciding theoremhood and thus potentially deleting nontheorems, proved independently, in 1936, that such an algorithmic method was impossible for the first-order predicate logic (see logic, history of: 20th-century logic).
In ARFS, a machine learning algorithm, such as random forest (RF), support vector machine (SVM) and naïve Bayes classifier (NB) is used to compute the nonconformity score of each example belonging to data distribution, and then the p-value from algorithmic randomness test is obtained from nonconformity scores.
Since our algorithmic significance test considers recurrence as well as mutual exclusivity, it much more reliably excludes these false positives.
Our algorithm efficiently constructs and searches networks of potential interactions and identifies significant modules (RME modules) by using the algorithmic significance test.
The algorithmic significance test compares the number of bits required to encode the binary matrix X by the RME Algorithm to the number of bits required to encode the matrix under the null hypothesis.
