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:

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坚持马克思主义立场观点方法是理论创新的必然要求

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