Exact(3)
Immune network theory enables the design of a Reinforcement Learning (RL) mechanism to interconnect cases, capture explicit knowledge about the outcomes (success and failure) of control decisions and enable decision-making by taking advantage of previous outcomes in reaction to new occurrences of disturbances.
These studies have focused on three general areas: HDL-cholesterol metabolism and the reverse cholesterol transport pathway; novel therapeutic interventions and their effects on coronary artery disease as assessed through non-invasive imaging modalities; and finally a re-analysis of previous outcomes trials with established HDL-cholesterol modifying agents.
Varying one's bet size on the basis of previous outcomes can never change the house edge.
Similar(57)
Factors included treatment (placebo, pramipexole), type of previous outcome (gain, loss) and magnitude of outcome (25, 5, "boost+10" and "boost+50").
The analysis of the standard outcomes by means of a three-way ANOVA with treatment (placebo vs. pramipexole), type of previous outcome (gain vs. loss) and magnitude of outcome (25 or 5) showed a significant effect of type of previous outcome [F 1,12) = 12.4; p<0.01], with losses in the previous trial leading to riskier choices (i.e., higher probability of selecting 25) than gains.
These algorithms are becoming increasingly sophisticated, not just implementing a set of rules, but adapting to previous outcomes and improving.
Our data on modulation of decision making according to previous outcomes suggest altered reward mechanisms in early-onset CD.
Consequently, using qualitative methods to explore the implementation process will provide valuable knowledge [ 9, 12, 15, 18] and complementary to the result of the previous outcomes of empowerment-based chronic kidney care [ 1].
Information needed to calculate the duration of IPIs (the date of the previous outcome and the date of the last menstrual period before the index pregnancy) is missing for more than a sixth of the observations in our sample.
Our analysis shows that such an unigram model, where each outcome is independent of the previous outcome, is not adequate to model the EBUDS corpus.
Most of the previous outcome data after STEP come from large centres in North America.
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