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Using spatially heterogeneous cost surrogates results in improved differentiation of relative priority, as measured by the selection frequency of each candidate priority area.
When area is used a cost surrogate a greater number of areas are selected <30% of the time compared with when a spatially heterogeneous cost is used.
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This study indicates that heterogeneous costs of resistance or virulence between demes (even zero costs in some but not all demes) is a more important determinant of stability in a coevolving host-parasite interaction rather than heterogeneous distribution of the cost of being diseased.
However, such screens have been hampered by heterogeneous neuronal production, high cost and low yield, and multi-step differentiation procedures.
There are nine major types of cost involved in cost-sensitive learning that are with heterogeneous units in general, referred to heterogeneous costs.
And then, all heterogeneous costs with attribution information together are incorporated into the process of split attribute selection, called as HCAI-based split attribute selection.
BFE extend von der Fehr and Harbord's (1993) multi-unit auction model of wholesale electricity markets by allowing firms to have heterogeneous costs for different generating units.
While it is a challenge to construct many suitable transformation functions for the costs with diverse units, this paper designs a heterogeneous-cost sensitive learning (HCSL) algorithm to make split attribute selection more effective.
This paper studies the heterogeneous energy cost and charging demand impact of autonomous electric vehicle (EV) fleet under different ambient temperature.
The rational design of heterogeneous, low cost transition metal complexes that can catalyze olefin with high enantioselectivity and activity has been a challenging goal for the synthetic chemist.
Furthermore, [Tavakkoli-Moghaddam et al. (2006b]) presented a linear integer model of capacitated vehicle routing problems with the independent route length to minimize the heterogeneous fleet cost and maximize the capacity utilization, and their proposed model is solved by a hybrid simulated annealing (SA) based on the nearest neighborhood.
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