"Including this mood information leads to higher accuracy," Bollen said. He stressed that their algorithm is highly simplified, and not the best stock market predictor anyone could come up with.
“心情信息可以使准确率更高，”博伦说，他强调他们的算法是经过高度简化的，并不是每个人都能想到的最佳股市预测器。
“Including this mood information leads to higher accuracy, ” Bollen said. He stressed that their algorithm is highly simplified, and not the best stock market predictor anyone could come up with.
“心情信息可以使准确率更高，”博伦说，他强调他们的算法是经过高度简化的，并不是每个人都能想到的最佳股市预测器。
Thus, the general categorization of this algorithm is best-first with coalescing: Freed chunks are coalesced with neighboring ones, and held in bins that are searched in size order.
因此，这个算法一般被归类为带合并的最佳适合算法：释放的邻近的块被合并，并被保存在按大小搜索的箱子里。
In this algorithm, dynamic programming is used to calculate optimal local cosine tree during the LCT for signals, and the optimal entropy code is gained by the best partition of time axes.
算法对信号进行局部余弦变换时采用动态规划算法计算最佳局部余弦树，通过获得信号在时间轴上的最佳划分来获得信号的最优嫡编码。
Simulated annealing mechanism is introduced to do local-search for the best chromosome in every generation of the evolution process. This improves the convergence of the algorithm.
算法引入模拟退火机制，在遗传进化过程中的每一代，对最优个体进行邻域局部寻优，利用模拟退火进一步改善算法的收敛性能。
Genetic-saving hybrid algorithm constructed in this paper is a double -deck pseudo-parallel structure. It makes the best of search methods in different fields.
本文构造的遗传节约混合算法是一个两层的伪并行搜索结构，充分利用了不同的领域搜索方法。
In this paper, a new clustering algorithm based on model is proposed, it finds the best fit of the given data to mathematical model by optimizing the fit between the data and model.
提出一种新的基于模型的聚类算法，通过优化给定的数据和数学模型之间的适应性发现数据对模型的最好匹配。
VIKOR algorithm is applied to select the best supplier and weight is given to VIKOR by entropy-weighing method in this paper, an example was shown and validation was proved in Selection of Suppliers.
本文利用了VIKOR算法解决供应商的选择问题，采用熵权法确定了VIKOR权重，通过实例证明了该方法在供应商选择中的有效性。
Three algorithms estimating the distortion are compared in this thesis, experimental result shows that the recursive optimal per-pixel estimate(ROPE) algorithm is the best.
本论文比较了现有的三种失真度估算方法，通过实验证明了基于像素级的递归估算方法是最为接近实际情况的方法。
In this paper, an elitism-based PBIL algorithm which learns the selected best solutions in current population and the optimal solution found so far in the algorithm at same time is proposed.
在本文中，精英主义为基础的的PBIL算法学习选定的最佳解决方案，在目前的人口和最佳的解决方案迄今所发现的在同一时间的算法被提出。
This algorithm can achieve the best demodulation because the likelihood ratio of information is used adequately.
由于该算法充分利用了软译码得到的似然比信息，因此可以实现最优信号检测。
This algorithm can achieve the best demodulation because the likelihood ratio of information is used adequately.
由于该算法充分利用了软译码得到的似然比信息，因此可以实现最优信号检测。
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