ZSA: Andrew Smith

· · 来源:dev资讯

Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:

未对动物采取安全措施,致使动物伤害他人的,处一千元以下罚款;情节较重的,处五日以上十日以下拘留。

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