Exact(2)
The first method that was used was a 'random split', herein 10% of the data was partitioned using semi-stratified random partitioning with a fixed random seed as implemented in PP and set apart for future reference.
If the randomness is preventing you from telling whether your agent is improving, you can use -f to run with a fixed random seed (same random choices every game).
Similar(58)
An independent investigator having no contact with the subjects and no involvement in data collection or analysis used a computerized random number generator ("research randomizer" http://www.randomizer.org/form.htm) to create the randomization sequence which was stratified by sex with a 1∶1 allocation using a fixed random block size of two.
Stimuli were divided over the four blocks and were presented in a fixed random order with the following restrictions topic and perspective should differ between all consecutive stimulus presentations, a particular syllogism type (e.g., true-invalid) could not occur more than twice in a row and premise order should differ at every fourth stimulus presentation at least.
A reservoir is usually a recurrent neural network with fixed random connections.
The reduction of monthly migraine days for each trial was analyzed by calculating standardized mean difference (SMD) with 95% confidence intervals (CI) with a fixed- or random- effect model.
We cover models with fixed, random, and mixed effects, including random interactions, and do so for within-subject, between-subject, and mixed designs.
Other data including responder rates and adverse events were dichotomous, and were calculated by odds ratio (OR) with 95% confidence intervals (CI) with a fixed- or random-effect model.
Each read class contained reads with a fixed number of introduced random errors relative to the consensus genome sequence.
All outcomes were quantitative; differences between groups were analyzed by a linear mixed model with a fixed factor (group) and random abstracts and abstract × group interaction effects.
To account for bilateral hips, we used a linear mixed model with a fixed intercept and a random effect for each patient, assuming a compound-symmetry covariance pattern for the repeated implantations (bilateral hip arthroplasty).
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