搜索资源列表
FaceTrainPose
- 本代码为机器学习中表情识别算法的实现运用了神经网络方法训练学习模型从而达到表情识别的目的-The code for the machine learning facial expression recognition algorithm, the use of neural networks, the training model of learning so as to achieve the purpose of expression recognition
Semi-supervised-learning-NJU
- 半监督学习非常好的一篇文章，机器学习重镇，南京大学写的，希望对大家有所帮助！-Semi-supervised learning is very good article, machine learning center, Nanjing University, write, we want to help!
mitmatlab
- 机器学习中所有的源代码，对于想深入了解机器学习的人有一定帮助！-Machine learning all the source code for those who want in-depth understanding of machine learning to help people who have some!
FCMClust
- 模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
Python-ELM-master
- 用于机器学习中分类和回归的程序，并且使用python编写的-Regression and Classification
AlgorithmSVM
- SVM的c语言实现，支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表. -SVM-c language, support vector machine SVM (Support Vector Machine) as a trainable machine learning methods, relying on small samples after learn
cs229-notes12
- 这是 Andrew Ng 机器学习讲义《Reinforcement Learning and Control》,包含了离散和连续MDP的内容，比官网的课件全。（官网的缺乏连续MDP部分）-This is Andrew Ng Machine Learning Materials " Reinforcement Learning and Control" , contains a discrete and continuous MDP content than the officia
Standalone
- 机器学习强大的软件，集成的强大软件，可以用于分析数据。-Machine learning powerful software, integrated powerful software that can be used to analyze the data.
SVM_GUI_3.1[mcode]{by-faruto}
- 支持向量机SVM(Support Vector Machine）作为一种可训练的机器学习方法，依靠小样本学习后的模型参数进行导航星提取，可以得到分布均匀且恒星数量大为减少的导航星表。 基本情况 Vapnik等人在多年研究统计学习理论基础上对线性分类器提出了另一种设计最佳准则。其原理也从线性可分说起，然后扩展到线性不可分的情况。甚至扩展到使用非线性函数中去，这种分类器被称为支持向量机（Support Vector Machine，简称SVM）。支持向量机的提出有很深的理论背景。 支持向量机
Machine-Learning-exercises_finished
- andrew NG上的课程machine learning 的习题解答，这些习题对于机器学习入门还是非常有帮助的，值得学习。-This my answer to the programming exercises of Machine Learning by Andrew NG,this files are very useful to the people who want to study with Machine Learning.
2sum_hash
- 斯坦福机器学习公开课作业2sum的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class jobs 2sum job answer, python implementation, the results have been proven
algo0004
- 斯坦福机器学习公开课作业求逆序数的作业答案，python实现，运行结果已经经过验证-Stanford Machine Learning Homework publicly inverse number of job seeking answers, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业求最小割的作业答案，python实现，运行结果已经经过验证-Stanford Machine Learning Homework for the minimum cut open job answer, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业快速排序的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class jobs quicksort job answer, python implementation, the results have been proven
algo004
- 斯坦福机器学习公开课作业图的最小强联通的作业答案，python实现，运行结果已经经过验证-Stanford machine learning open class job the minimal intensity Unicom jobs answer, python implementation, the results have been proven
C4_5
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from
Representation-learning
- 深度学习领域的一个分支，由日本人引领的机器学习潮流-A branch of the deep learning field, conducted by a japanese researcher
13Deep-Learning-Tutorial
- 适合机器视觉的深度学习入门讲义，深度学习是机器学习领域现在最热门的领域之一-The deep learning tutorial is suitable to machine vision, which is the most popular area in the machine learning area
strred
- 全参考型视频质量评价方法，基于统计和机器学习的方法，发表在2012年TIP-Full reference type video quality assessment method based on statistical and machine learning methods, published in the 2012 TIP
Manish-TMM-(1)
- 全参考型视频质量评价方法，基于机器学习和视频特征提取，发表与2012年T-FR VQA method based on machine learning and video feature