Sentence examples for rules maximizing from inspiring English sources

In this chapter, we consider the transformation mechanism as a multiobjective problem where the goal is to find the best rules maximizing target model quality and minimizing rule complexity.

One can further show that, if the two states of the world have an equal prior probability (i.e., Pr(X = 1) = Pr X = −1) = 1/2), majority rule is the most reliable of all aggregation rules, maximizing Pr(V = X) (e.g., Ben-Yashar and Nitzan 1997).

These coverings have been considered as a realistic model for the growth of quasicrystals: the overlapping decagons are 'quasi-unit cells' analogous to the unit cells from which crystals are constructed, and the matching rules maximize the density of certain atomic clusters.

Properties of the optimal decision rule maximizing the total expected present discounted net profit gained over an infinite planning horizon are examined and clarified.

Secondly, the maximum type 1 error only occurs if the experimenters apply the worst case sample size reassessment rule (maximizing the conditional type 1 error rate) at any point in the interim sample space.

Importantly, the equal-payoff rule maximizes payoffs for all player types.

We use the maximum scaled gain rule (maximize minimum singular value) and compare it to the exact local method.

In many environments, the majority voting rule maximizes agentsʼ ex-ante expected utilities among all anonymous and dominant-strategy implementable choice rules.

Many previous studies (for example, Joskow 1975; Chao and Pecks 1996) analyze how to make the effective dynamic pricing rule maximize total welfare.

If we had a decent theory of epistemic utility (also known as cognitive utility and cognitive value) perhaps what hypotheses one ought to accept, or what experiments one ought to perform, or how one ought to revise one's corpus of belief in the light of new information, could be determined by the rule: maximize expected epistemic utility (or maximize expected cognitive value).

So, the question is which allocation rule maximizes the power of a t test, given the budget.