搜索资源列表
svm
- 统计学习理论中提出的支撑向量机回归(SVR)遵循了结构风险最小化原则,从而避免了一味追求经验风险最小化带来的弊端-Statistical learning theory proposed by the support vector machine regression (SVR) to follow the structural risk minimization principle, thus avoiding the blind pursuit of Empirical Risk Minim
KStattoolbox
- 一个非常经典的核统计学习工具箱。集成了kpca,ksri等。具有分类和回归双重功能-A very classic nuclear statistical learning toolbox. Integrated kpca, kdr, ksri and so on. Classification and regression with a dual function.
ARIMA-model-algorithm
- 。统计预测方法建立在严密 的数学理论基础之上，具有结构简单、预测速度快、方便操作等特点，相对于其 他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用 -. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
njcnf
- 包括回归分析和概率统计，计算两个矩阵之间的欧氏距离，有较好的参考价值。- Including regression analysis and probability and statistics, Calculation of the Euclidean distance between the two matrices, There are good reference value.
fie_dt14
- 代码里有很完整的注释和解释，wolf 方法计算李雅普诺夫指数,包括回归分析和概率统计。- Code, there are very complete notes and explanations wolf calculated Lyapunov exponent, Including regression analysis and probability and statistics.
huiliemie
- 大学数值分析算法，包括回归分析和概率统计，旋转机械二维全息谱计算的实用例程。- University of numerical analysis algorithms, Including regression analysis and probability and statistics, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
fingliu-V3.8
- 进行波形数据分析,包括回归分析和概率统计，相参脉冲串复调制信号。- Waveform data analysis, Including regression analysis and probability and statistics, Complex modulation coherent pulse train signal.
dxnfe
- 包括回归分析和概率统计，包括面积、周长、矩形度、伸长度，数据模型归一化，模态振动。- Including regression analysis and probability and statistics, Including the area, perimeter, rectangular, elongation, Normalized data model, modal vibration.
李航_统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)
7-9
- 分别介绍了概率与数理统计概述、统计估计、假设检验、方差分析、回归分析、正交试验分析、聚类分析、判别分析和多元数据相关分析等内容，理论与实践相结合，向读者演示了matlab在数理统计中的应用。(It respectively introduces the outline of probability and mathematical statistics, statistical estimation, hypothesis test, variance analysis, regression