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- After dimensionality reduction to extracted eigenvector by K-L transform，genuine signatures and forgeries are distinguished through Support Vector Machines（SVM）. 运用K-L变换对已提取的特征向量进行降维，最后输入支持向量机进行真伪鉴别。
- As the traditional Support Vector Machines（SVM） is sensitive to the noises or outliers，Fuzzy Support Vector Machines is introduced，but the determination of fuzzy membership is a difficulty. 摘要 传统的支持向量机对噪声或野点是敏感的，针对这种情况，引入了模糊支持向量机，但模糊隶属度的确定是个难点。
- A novel predistorter model based on Support Vector Machine（SVM） is proposed to linearlize nonlinear Power Amplifier（PA） with memory. 提出了一种新的针对记忆非线性功率放大器的支持向量机（SVM）预失真器。
- Abstract: Support vector machine （SVM） is a powerful machine learning technique based on statistical learning theory （SLT）. 文章摘要: 支持向量机是建立在统计学理论之上的强有力的机器学习技术。
- To increase fermentation unit，the strategy of optimization control that combines the support vector machine（SVM）with genetic algorithm based on real coding（RGA）is proposed. 为了提高微生物发酵单位，提出了支持向量机（SVM）与基于实数编码遗传算法（RGA）相互耦联的优化控制策略。
- The objective function in the unconstrained model of linear Support Vector Machine（SVM） is not twice differentiable which precludes the use of a fast Newton method. 摘要 线性支持向量机的无约束优化模型的目标函数不是一个二阶可微函数，因此不能应用一些快速牛顿算法来求解。
- Facing the problem of vocal discrimination in pop music，the authors propose applying MFCC parameters as features，and Support Vector Machine（SVM） as classifier. 摘要 针对流行音乐中人声的发现问题，使用SVM分类器针对MFCC特征进行训练和分类。
- Improved KNN-SVM that combined Support Vector Machine（SVM） with weighted K Nearest Neighbor（KNN） is presented to improve the accuracy of gender recognition nearby SVM hyperplane. 摘要 针对支持向量机（SVM）在超平面附近进行性别识别的不准确性，引入进行加权的K近邻（KNN）算法。
- Keywords Information hiding;Steganography;Steganalysis;Wavelet;Support Vector Machines （SVM）;Audio;Psychoacoustic model; 信息隐藏;隐写术;隐写分析;小波;支持向量机;音频;心理声学模型;
- A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed. 摘要提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
- The Support Vector Machines(SVM) based on ethe Statistical Learning Theory can solve this problem. 而基于统计学习理论的支持向量机(SVM) 方法正好克服了这方面的不足。
- A texture classification algorithm based on Dual-tree Complex Wavelet Transform (DT-CWT) and Support Vector Machines (SVM) is proposed. 提出了一种基于双树复数小波变换(DT-CWT)和支持向量机(SVM)的纹理分类算法。
- Keywords Alternative splicing;Donor site;Acceptor site;Support vector machine（SVM）; 选择性剪切;供体位点;受体位点;支持向量机;
- In this paper, an intelligent method for solving multiple attribute decision making(MADM) problems is proposed based on support vector machines(SVM). 摘要分析多属性决策问题及现有方法，提出了基于支持向量机的智能多属性决策方法。
- Keywords burn scar;chroma emendation;chroma analysis;Artificial Neural Networks（ANN）;Support Vector Machine （SVM）; 瘢痕;色度校正;色度分析;人工神经网络（ANN）;支持矢量机（SVM）;
- Fortunately, Statistical learning theory (SLT) and support vector machines (SVM) provide methods to solve the problems mentioned above. 与传统统计学方法相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。
- Rule-Based Reasoning (RBR), Case-Based Reasoning (CBR) and Support Vector Machines (SVM) were integrated to support the diagnosis management. 应用集成规则推理、案例推理和支持向量机，共同应对供应链伙伴关系诊断管理问题。
- Support vector machines(SVM),a learning method based on statistical learning theory(SLT),can solve small sample learning problems better. 支持向量机是建立在统计学习理论上的一种学习算法，较好地解决了小样本学习问题。
- Keywords visual evoked potentials（VEP）;brain-computer interface（BCI）;single-trial estimation;support vector machine（SVM）; 关键词视觉诱发电位;脑-机接口;单次提取;支持向量机;
- Keywords support vector machine（SVM）;incremental learning;multiclass classification;outlier and noise;extrapolation;identification; 支持向量机;增量学习;多类分类;孤立点与噪音点;外插值;辨识;
