68 research outputs found
If you build it, they will come: unintended future uses of organised health data collections
A polynomial upper bound for a mutation-based algorithm on the two-dimensional Ising model
Abstract. Fitness functions based on the Ising model are suited excellently for studying the adaption capabilities of randomised search heuristics. The one-dimensional Ising model was considered a hard problem for mutation-based algorithms, and the two-dimensional Ising model was even thought to amplify the difficulties. While in one dimension the Ising model does not have any local optima, in two dimensions it does. Here we prove that a simple search heuristic, the Metropolis algorithm, optimises on average the two-dimensional Ising model in polynomial time
The Forgotten Age Group: Why Children Aged 5-14 Are Succumbing To Malaria. An Exploratory Study in Western Kenya
The Influence Of Intellectual Property Protection On Drug Development For Neglected Tropical Diseases
Vitaal en bevlogen. Vermarketing van gezondheid van werknemers
nrpages: 68status: publishe
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