搜索资源列表
PCA
- 针对稀疏表示识别方法需要大量样本训练过完备字典且特征冗余度较高的问题，提出了结合过完备字典学习与PCA降维的小样本语音情感识别算法.该方法首先用PCA降维方法将特征降维，再将处理后的特征用于过完备字典训练与稀疏表示识别方法，从而给出了语音情感特征的稀疏表示方法，并确定了新算法的具体步骤.为验证其有效性，在同等特征维数下，将方法与BP, SVM进行比较，并对比、分析语音情感特征稀疏化前后对语音情感识别率、时间效率以及空间效率的影响.试验结果表明，所提出方法的识别率比SVM与BP高 与采用稀疏化前的
lec3
- The Support Ve ct or Machi ne So fa r we have used a reference as sumpt ion tha t there exists a linear classifier that has a larg e ge ometric margin, i.e., whose decision b oundar y is we ll separa ted from all the training images (e xampl
01626622_2
- Face Detection in Color Images Based on Sub-image Fusion and SVM
LIB-svm-c
- LIBSVM在C++环境下的调试和程序注释-LibSVM debugging environment in C++ language
ass
- 基于SVM软测量模型的文章，对研究生学习很有用啊-SVM soft measurement model based on the article, for graduate study useful ah
SVM
- 全文宏观上整体认识支持向量机的概念和用处，微观上深究部分定理的来龙去脉，证明及原理细节，力求逻辑清晰 ， 通俗易懂。-Overall understanding of the text of the macro support vector machine concept and usefulness, go into the ins and outs of the microscopic part of the theorem, and proof of principle details,
Hidden-Markov
- 关于隐马尔科夫模型方面的文献资料，介绍了HMM的原理，拓展。创新性将SVM和HMM结合应用-Literature on hidden Markov model aspects, introduced the principle of HMM expand. The innovative application of SVM and HMM combination
Machine-Learning
- 机器学习的讲义和作业，包括了SVM、隐氏马尔科夫和朴素贝叶斯等方法，非常适合初学机器学习的人！-Machine learning lectures and assignments, including SVM, Hidden Markov and Naï ve Bayes methods, machine learning is ideal for beginners！
LSSVM
- ls-svm 的功能介绍，和各个功能的例程-ls-svm function descr iption, and each function routines
svm
- 我收集的十篇优秀硕士论文，关于支持向量机预测电力负荷的。-I collected ten outstanding master' s thesis on support vector machine power load.
libsvm
- matlab的支持向量机工具包使用说明，详细介绍了SVM库的使用方法。-matlab support vector machine tool kit instructions, detailing the use of SVM library.
433
- 融合小波能谱熵和支持向量机ＳＶＭ的特点提出了基于小波能谱熵的ＳＶＭ故障诊断方法． 利用转子试验台对转子典型振动故障进行模拟并采集振动数据提取其振动信号的小波能谱熵作为特征向 量-Fusion wavelet energy entropy and support vector machine SVM is proposed based on the characteristics of wavelet energy entropy SVM fault diagnosis method. U
39378
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
Yang_nature_book_part
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
39326
- This work investigates the practical application of support vector machine (SVM) to power transformer condition assessment. Partiuclarly, this paper proposes to integrate the SVM algorithm with two heuristic optimization algorithms which are
SVM-KMExample
- Support vector machine
SVMLight_vc
- svm light vc++实现，大家可以参考参考-svm light vc++ achieve, we can refer to reference
Wind-speed-prediction
- 基于最小二乘支持向量机理论,结合某风电场实测风速数据,建立了最小二乘支持向量机风速预测模型。对该风电场的风速进行了提前1h的预测,其预测的平均绝对百分比误差仅为8.55 ,预测效果比较理想。同时将文中的风速预测模型与神经网络理论、支持向量机(support vector machine,SVM)理论建立的风速预测模型进行了比较。仿真结果表明,文中所提模型在预测精度和运算速度上皆优于其他模型。 -Based on least squares support vector machine the
libsvm-3.12
- code matlab svm ( suport vector machine )
gaosihefenlei
- 用于SVM高斯核分类-Gaussian kernel for SVM classification-Gaussian kernel for SVM classification