: A model that generates visual tokens one at a time for image synthesis.
: Unlike standard random utility models, RAR can account for context-specific behaviors like the attraction effect . 2. Recursive Autoregressive Model (rAR) Models.rar
: This method uses sequential Bayesian prediction to allocate patients to treatment arms. : A model that generates visual tokens one
: Studies show rAR achieves higher precision (approx. ) and recall (approx. ) compared to other techniques like ARIMA. 3. Response-Adaptive Randomization (RAR) Models.rar
: It favors the "best" treatment based on accumulated results, making the trial more ethical by potentially assigning more patients to effective treatments. 4. Machine Learning & Vision Models Other "RAR" models appearing in technical archives include: