ID 原文 译文
24655 首先采用词频-逆文本频率指数 TF-IDF（Term Frequency-Inverse Document Frequency）方法，将短文本数据集映射到文本向量空间得到词频权值矩阵； First, the term frequency-inverse document frequency (TF-IDF) method is used to map the short text dataset to the text vector space, to obtain the word frequency weight matrix.
24656 其次利用 Laplacian 矩阵的图谱聚类特性，对词频权值矩阵进行数据降维处理； Secondly, the dimension of the word frequency weight matrix is reduced by using the graph clustering property of Laplacian matrix.
24657 然后依据 Laplacian 矩阵的特征值表示文本相似度的特点，选择前 K 个特征值对应的特征向量作为初始聚类中心，以减少聚类过程的迭代次数。 Afterwards, according to the feature that the eigenvalues of Laplace matrix can represent the degree of text similarity, the eigenvectors corresponding to the first K eigen values are selected as the initial clustering center, thus reducing the number of iterations in the clustering process.
24658 在 SSC、20 News Group 及 Microblog PCU 数据集上进行相关实验，结果表明 Laplacian 图谱聚类算法比传统聚类算法，不仅具有更优的聚类结果与更快的收敛速度，而且受噪声点影响较小，有很好的鲁棒性。 We conduct extensive experiments on SSC, 20 News Group and Microblog PCU datasets. The results show that the Laplacian graph clustering algorithm not only has better clustering results and faster convergence speed compared with the traditional clustering algorithm, but also it is less affected by noises and has good robustness.
24659 本文提出了一种基于多源交配选择的多目标进化算法（Multi-source Mating Selection based Multi-objec‐tive Evolutionary Algorithms, MMSEA)。 This work proposes a multi-source mating selection based multi-objective evolutionary algorithm (MMSEA).
24660 在 MMSEA 算法中，谱聚类被用来挖掘种群规则特性，基于所获得的种群结构化信息设计了一种多源交配选择重组算子来引导算法搜索，通过为每个个体设置多个交配选择源，在利用相似个体重组加速算法收敛的同时较好地保持了种群的多样性。 In MMSEA, the spectral clustering algorithm is used to exploit the property of the multi-objective optimization problems. Based on the obtained population structure information, a multi-source mating selection strategy is designed to guide the algorithm search. The convergence of the algorithm is accelerated and the diversity of the population is maintained by setting multiple mating selections for each individual and using similar-based reproduction.
24661 实验结果表明，所提重组算子可以有效提升算法性能，将MMSEA与多种主流的多目标进化算法进行实验对比研究与参数灵敏度分析的结果表明，MMSEA在求解具有复杂特性的典型多目标优化问题测试集时表现出较强的竞争力。 The experimental results show that the proposed reproduction operator can effectively improve the performance of the algorithm. MMSEA is experimentally compared with variety of mainstream multi-objective evolutionary algorithms, and parameter sensitivity is also performed. In these experiments, MMSEA demonstrates strong competitiveness over the other approaches in solving typical multi-objective optimization problems with complex characteristics.
24662 时间反转传输技术通过利用多径传输实现信号能量在空间和时间上的聚集，具有天然的抗窃听特性。 By using the multi-path of wireless channels, time reversal (TR) transmission technology can focus the signal energy in a desired spatial and temporal point, so it has natural anti-eavesdropping capability.
24663 本文在多输入单输出（Mingle-Input Single-Output，MISO）时间反转物理层安全传输系统中，在常规的发送预滤波器前增加一个所有天线共用的预均衡器，并针对保密速率最大化进行优化。 In this paper, a pre-equalizer shared by all antennas is added in front of the conventional pre-filters at the transmitter for a TR multiple-input single-output system. The optimization of the pre-equalizer is carried out for the maximization of secrecy rate.
24664 相比较联合优化所有预滤波器的方案，优化预均衡器的复杂度明显更低。 Compared with the joint optimization for the all pre-filters, the complexity of optimization for the pre-equalizer is significantly lower.