搜索资源列表
Face-Recognition-survey
- Face recognition has been one of the most interesting and important research fields in the past two decades. The reasons come the need of automatic recognitions and surveillance systems, the interest in human visual system on face recognition, and th
jitizhihuibaincheng
- 集体智慧编程中文版，本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析web上的数据和 资源。本书包含协作过滤技术，集群数据分析，搜索引擎核心技术，贝叶斯过滤技术等。-Collective intelligence programming Chinese edition, the book in machine learning and statistics are calculated as the theme, specifically on how to mine and anal
notes
- 机器学习 斯坦福大学教授 Andrew Ng 主讲，课程讲义-machine learning class notes and homework
impoetant
- Correlation-based Feature Selection for Machine Learning for the degree of Doctor of Philosophy at The University of Waikato
ClosedFormVsGradientDescent
- Closed Form Linear Regression Vs Gradient Descent in Machine Learning
AL-MULTICLASS
- Documentation for active learning and Semi supervised Learning two important machine learning algorithm
MLSS-kyoto2015
- 机器学习相关课件，2015京都机器学习summer school课件，包括Stephen boyd以及Alex smola讲课的课件，cvx啊之类的-2015kyoto machine learning summer school ppt，Stephen boyd，Alex smola. cvx
survey2014
- This document presents a survey on using machine learning algorithms in wireless sensor networks applications such as localization ,routing...
c4.5-code
- This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
ELM--of-image-segmentation
- 以极限学习机的图 像分割算法为基础， 在确定了最优参数的基础上， 建立了基于ELM的图像分割算法， 并且通过仿真实验对算法的正确性和 有效性进行了验证， 指出这种算法能够更加快速地完成对图像的分割， 并且图像分割孤立点少， 边缘明显， 同时该算法大 大地缩短了样本的训练时间。-In image segmentation algorithm based on machine learning limit, in determining the optimum parameters ba
PRML
- Pattern Recognition and Machine Learning
pattern-classification
- machine learning: It is for pattern classification book-This is for pattern classification
Comparing--algorithm
- 机器学习算法的比较，里面是当前常用的各个机器学习算分优缺点评述-Compare machine learning algorithm, which is currently common advantages and disadvantages of each machine learning algorithm stars Review
ML
- 斯坦福大学Andrew Ng机器学习课程的中文笔记-Stanford University Andrew Ng Machine Learning Course in Chinese
learning-of-RVM
- 对RVM分类及回归原理的介绍，可以帮助初学者很好的学习相关向量机-RVM classification and regression principle of the introduction, can help beginners learn very good relevance vector machine
Advances-in-design-and-application-of-neural-netw
- Even since the introduction of backpropagation in 1986, neural networks have gained considerable attention from researchers for more than two decades now. A variety of neural network models have been designed and applied successfully to solve
fgwtv
- 是机器学习的例程，包含收发两个客户端程序，插值与拟合的matlab实现。- Machine learning routines, Transceiver contains two client programs, Interpolation and fitting matlab implementation.
4236
- matlab程序运行时导入数据文件作为输入参数，是机器学习的例程，可以广泛的应用于数据预测及数据分析。- Import data files as input parameters matlab program is running, Machine learning routines, Can be widely used in data analysis and forecast data.
3648
- 包括数据分析、绘图等等,图像的光流法计算的matlab程序,是机器学习的例程。- Data analysis, plotting, etc., Image optical flow calculation matlab program, Machine learning routines.
qie-V3.2
- AHP层次分析法计算判断矩阵的最大特征值,是机器学习的例程，是信号处理的基础。- Calculate the maximum eigenvalue judgment matrix of AHP, Machine learning routines, Is the basis of the signal processing.