这是一项非常笼统的知识测试，而个人投票决策需要更细微的了解。

This was a very general knowledge test, but individual ballot measures require much more detailed understanding.

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新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。

The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.

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此一发现建议，当实验对象认为他自己较不关键时，决策架构所造成的不对称诱因对他的投票决策影响较小。

This suggests that as the subject perceives himself to be less pivotal, the asymmetric incentive attributable to framing provides less influence on his voting decisions.

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