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financial-early-warning-model
- 对于本项目来说,共有1350组公司财务状况数据,每组数据的输入为10维,代表上述的10个指标,输出为1维,代表公司财务状况,为1时表示财务状况良好,为-1时表示财务状况出现问题。从中随机选取1000组数据作为训练数据,350组数据作为测试数据。根据数据维 数,采用的BP神经网络结构为10—6—1,共训练生成10个BP神经网络弱分类器,最后用10 个弱分类器组成强分类器对公司财务状况进行分类。-For this project,
mssb
- 实现贝叶斯分类器的设计，以及感知准则分类器设计-Design and implementation of design Bias classifiers achieve Bias classifier
2009_Face-detection-
- [PR 2009 ]LLU_Face detection using simplified Gabor features and hierarchical regions in a cascade of classifiers.pdf
12341
- 最近邻分类器，采用matalb来进行k最近邻分类的方法，应用于模式识别。-Nearest neighbor classifiers using matalb for k nearest neighbor classification methods used in pattern recognition.
AdaBoostToolbox
- 自适应增强算法的工具箱，包含了几种常用的弱分类器，自带图形界面，简单易懂。-Adaptive boosting algorithm toolbox contains several common weak classifiers, comes with a graphical interface, easy to understand.
classifier
- this program helps you to analyse pattern recognition classifiers using imported data
adaboost1
- adaboost代码，比较简单。但方便了解Adaboost算法的基本原理-The aim of the project is to provide a source of the meta-learning algorithm known as AdaBoost to improve the performance of the user-defined classifiers.
jsgd-61
- 该代码采用matlab和C混合编写，是采用随机梯度的方法训练线性分类器，它可用于数据、图像等的多类分类情况。参考论文：Good Practice in Large-Scale Learning for Image Classification-This a Stochastic Gradient Descent algorithm used to train linear multiclass classifiers. It is bi
CSL_adaboostV2
- ADABOOST的源码，为了方便大家理解，我修改了原文中的弱分类器最优阈值寻找的部分代码。-ADABOOST the source, in order to facilitate understanding, I modified the text of the weak classifiers optimal threshold looking for some code.
plate-detection
- 车牌识别的算法描述：Haar特征以及Adaboost分类器-License Plate Recognition Algorithm Descr iption: Haar features and Adaboost classifiers
AdaBoost
- 基于决策树实现的AdaBoost分类器，是一个由多个弱分类器进行训练生成强分类的过程。-Based on AdaBoost classifier tree implementation, is a plurality of weak classifiers in the training process generates a strong classifier.
data_mining1
- This contains the data mining implementation for classifiers
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
lec2
- Pe rceptron, con ve rgence, and gene rali zati on Recall tha t we ar e dealing with linear classifiers throug h origin, i.e.-Pe rceptron, con ve rgence, and gene rali zati on Recall tha t we ar e dealing
Adaboost
- adaboost算法，针对图像处理，训练强弱分类器 分类器-adaboost algorithm for image processing, strength training classifiers Classifier
afnichidnfs-
- 对五种典型的贝叶斯网分类器进行了分析与比较。在总结各种分类器的基础上，对它们进行了实验比较，讨论了各自的特点，提出了一种针对不同应用对象挑选贝叶斯网分类器的方法。 -Of five kinds of typical bayesian network classifiers are analyzed and compared. On the basis of summarizing the various classifiers, exp
06259963(1)
- Improvement in the performance of neural network-based power transmission line fault classifiers
Classifier
- 几种分类器，包括adaboost和随机森林-Several classifiers including adaboost and random forest
image-classification-opencv
- image classifiers opencv c-image classifiers opencv c++
dd_ex6
- 高斯分布混合监督之间的区别，训练三个分类器。检测异常。-The distinction between mixed Gaussian distribution supervision, training three classifiers.