This contribution of the study is to propose a jointed voting model to test different voting theories simultaneously.
本文的贡献乃在提出一个整合的投票模型以便同时测试不同的投票理论。
This server-side mechanism USES a self-learning model based on a voting system.
这种服务器端机制使用基于投票系统的自主学习模型。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
In this paper, a method for verb-verb collocation recognition is proposed based on maximum entropy model and voting.
提出一种基于最大熵模型和投票法的汉语动词与动词搭配识别方法。
According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.
分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。
According to the continuous space model for emotion, an improved queuing voting algorithm was proposed to implement the fusion of multiple emotion classifiers for a good emotion recognition result.
分别利用普通话情感语音库和德语情感语音库进行实验，结果表明，与几种传统融合算法相比，改进的排序式选举法能够取得更好的融合效果，其识别性能明显优于单分类器。
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