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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:。搜狗输入法2026对此有专业解读
Фото: Rula Rouhana / Reuters。爱思助手下载最新版本是该领域的重要参考
「但最近，這些驚喜變得不大令人愉快了，短期內恐怕仍會持續如此。」