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1004
- 介绍基于SVM模型的语音识别方法的处理与研究，通过把SVM 与DCT相结合来进行语音的识别。-Introduced the SVM model based on speech recognition method of treatment and research, through the combination of SVM with the DCT for speech recognition.
svmhmm
- svm和hmm混合模型手写签名认证,充分利用SVM的分类能力以及HMM适合处理连续信号的优势进行手写签名认证-hmm mixed model and svm handwritten signature authentication, make full use of the classification ability of SVM and HMM for continuous signal processing advantages of the handwritten signature v
svm
- 支持向量机模型用于预测分析效果显著，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中-Support vector machine model is used to predict significant effect in solving small sample, nonlinear and high dimensional pattern recognition exhibit many unique advantages, and
df364
- 包括最小二乘法、SVM、神经网络、1_k近邻法,本科毕设要求参见标准测试模型，给出接收信号眼图及系统仿真误码率。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Undergraduate complete set requirements refer to the standard test models, The received signal is given eye
svm-knn
- svm与knn组合模型的matlab实现(Matlab implementation of SVM and KNN combined model)