搜索资源列表
belajar_decision_tree
- Decision Tree Classifier applied on standard Iris dataset using Python.
battles
- Dataset of Game of Thrones Battles Kaggle.com-Dataset of Game of Thrones Battles Kaggle.com
Abalone
- UCI数据集中的Abalone数据集，可以直接在MATLAB中使用。-UCI dataset Abalone data set can be used directly in MATLAB.
19931107_135603_starea17
- IPIX雷达1993年采集的一组数据，数据编号17，为驻留数据-A dataset collected by IPIX RADAR at starea mode in 1993.
Cart-tree
- 实现CART树回归，树的生成与剪枝过程，并与简单线性回归进行对比-Implement a regression tree generation algorithm when the leaf nodes indicate 3rd order polynomials. Test your program with the dataset and compare the results with those of simple linear regression
DeepFace
- DeepFace一文依旧是沿着“检测-对齐-人脸表示-分类”这一人脸识别技术路线来的，其贡献在于对人脸对齐和人脸表示环节的改进。1）在人脸对齐环节，引入了3D人脸模型对有姿态的人脸就行分片的仿射对齐。2）在人脸表示环节，利用一个9层的深度卷积在包含4000人、400万张人脸的数据集上学习人脸表示，这个9层的DCNN网络有超过1.2亿个参数。本文的模型在LFW数据集上取得了97.25 的平均精度（逼近了人类97.5 的极限），同时在Youtube数据集上取得了当前最好的结果，比之前的NO.1整整高
cSharpgrid
- 使用c#操作处理影像数据，从而获得栅格数据集，使用C#编写，主要应用于地理信息系统领域-Using c# operation processing image data to obtain raster dataset, written in C#, mainly used in the field of geographic information systems
weka
- 机器学习调用weka的jar包实现的源码，包含朴素贝叶斯,决策树,ID3,以及特征选择的源码，数据集使用weka的数据集，需要使用arff文件读入。-Weka machine learning to call the jar package implements the source, including Naive Bayes, decision trees, ID3, and features selected source dataset weka data set, you need t
HDF5program
- 【HDF5program.rar】关于HDF5文件科学数据集，属性，群组等的创建或读写操作。- 【h5_crtdat.c】Create a dataset 【h5_rdwt.c】Read and write to a dataset 【h5_crtatt.c】Create an attribute 【h5_crtgrp.c】Create a group 【h5_crtgrpar.c】Create groups in a file using absolute and
NN-Back-Propagation-Generalized
- Solving XOR-problem and consecutively try MNIST-dataset with fundamental level of understanding on neural networks. Recommendable for beginners ( As I am :) ) And it s fully documented.
LogisticRegression
- Logistic Regression on IRIS Dataset using TensorFlow
OD_Match
- 对数据进行分析和分类，并进行OD矩阵匹配。-analysis the dataset and match the correspoding OD matrix
ge_axes
- 利用Googleearth，在matlab开发平台上，对采集的数据进行在坐标轴里分类。-use the google-earth,build the axes and classify the dataset to the corresponding axes.
learning-to-detect-motion-boundaries
- We propose a learning-based approach for motion boundary detection. Precise localization of motion boundaries is essential for the success of optical fl ow estimation, as motion boundaries correspond to discontinuities of the optical fl ow
eps_operator
- 对数据进行边界保护平滑处理，可以选择平滑窗口大小-Apply Edge-preserve Smoothing (EPS) operation on input dataset with selected window size
bayes_on_pima
- bayes classifier on pima dataset
Using-Data-from-MOLA-
- 使用MOLA的数据 火星轨道仪激光高度计（MOLA），NASA火星上的仪器 1998年和1999年收集了2700万次高程测量。 在这里，我们工作一个中等分辨率的数据集-Using Data MOLA The Mars Orbiter Laser Altimeter (MOLA), an instrument aboard NASA s Mars Global Surveyor, collected 27 million elevation measurements
datasnapdemo
- datasnap server/client通讯案例，提供了dataset数据保存代码的处理-Datasnap framework to build, how the data is submitted to the
Challenge_Data
- 故障预测与健康管理数据PHM，数据格式为txt，希望对有需要的同志有帮助。英文描述建议大家看看，说不定会有帮助。-5. PHM08 Challenge data set the data challenge competition held at the 1st international conference on Prognostics and Health Management (PHM08) is being made publicly available. The dataset i
loan-and-text
- The following is a matlab code using LIBSVM for loan classification, using german credit dataset and text classification using LIBSVM