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Maching.learning.for.biological.data.mining
- 89页PPT（pdf格式）。作者Byoung-Tak Zhang。全面介绍了机器学习和数据挖掘技术在生物学中的应用-89 PPT (pdf format). By Byoung-Tak Zhang. A comprehensive introduction to machine learning and data mining technology in biology
Csharp-libsvm
- 关于libsvm的CSharp代码，利用c#实对支持向量机的学习-About libsvm of CSharp code to use c# real pairs of support vector machine learning
ML_Automata
- Learning Automata Algorithms A collection of machine learning programs which contains some of Learning Automata algorithms such as Tsetline, Krinisky, Krylov, LRI, LIP, LRR, LReP, SoftMax, SampleAverage and Random strategy. All of these develope
ARMiner
- 关于机器学习电子书，机器学习领域当中最经典的一版-E-books on machine learning, machine learning, the most classic version of
learning
- 中科院胡占义教授关于计算机视觉中机器学习方法的将以，非常难得的资料。-HuZhanYi sciences professor about computer vision of machine learning method to the material, it is very rare.
os-elm
- 主要是基于extreme learning machine的改进算法，结合了增量学习-It’s mainly based on the extreme learning machine improvement algorithm, unified the increase study
The_Elements_of_Statistical_Learning_2nd_3print.ra
- 《统计学习基础：数据挖掘、推理与预测》的全彩英文版，人工智能机器学习领域的必读书目，此版本为最新的第三次排版，很有价值-<The elements of statistical learning:Data mining,inference,and prediction>,color edition,the must-own book in the area of AI/Machine Learning,and it s the latest edition of publishmen
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，
incremental.tar
- Incremental and decremental support vector machine learning Matlab code
OPELM
- optimal extreme machine learning
machine-learning2010
- 卡内基梅隆大学的机器学习课件，内容全面，讲解精辟！-machine learning @ CMU
extreme-learning-machine-learning-method
- the ELM method is a learning technique, used to train a system
Wavelet-kernel-learning
- 简单介绍了小波变换在机器学习中的应用。多谢您的下载-A brief introduction of wavelet transform in machine learning applications. Thank you for downloading
Manifold--Learning
- 流形学习是一种机器学习。所谓 Machine Learning 里的 Learning ，就是在建立一个模型之后，通过给定数据来求解模型参数。而 Manifold Learning 就是在模型里包含了对数据的流形假设。-Manifold Learning is a kind of Machine Learning.
machine-learningPPT
- 书中主要涵盖了目前机器学习中各种最实用的理论和算法，包括概念学习、决策树、神经网络、贝叶斯学习、基于实例的学习、遗传算法、规则学习、基于解释的学习和增强学习等-The book mainly covers the current variety of the most practical machine learning theory and algorithms, including the concept of learning, decision trees, neural network
-SVM-(support-vector-machine)
- 支持向量机SVM是一种新的机器学习方法，其基础是统计学理论。模型泛化能力强；进行非线性分类时通过高维空间变换。-Support vector machine SVM is a new machine learning method, its base is statistics theory. Model generalization ability When the nonlinear classification by high dimension space transformation
Statistical-Learning(2-Edition)
- 斯坦福大学统计系的Trevor Hastie等编写的一本统计学习基础，关于数据挖掘，推理，预测的机器学习的书。这是第二版的，与第二版有很多新增的内容，在作者主页上下的，书在网上太贵了，买不起的，可看看电子版-Written by Trevor Hastie, Stanford University Department of Statistics, a statistical study based on data mining, reasoning, machine learning pred
semi-supervized-learning
- A PhD thesis on Semi-supervised learning with Graphs by Xiaojin Zhu. Focuses on creating graphs, based on a mixture of labeled and unlabeled data (as per the semi-supervised learning paradigm) and using processes on these graphs to propagate in rigo
Statistical-Learning
- 人工智能的数学基础理论（统计学习），全面介绍了有关数据挖掘、机器学习和模式识别的内容。-Mathematical foundations of artificial intelligence theory (statistical learning), a comprehensive introduction about data mining, machine learning and pattern recognition content.
Large-Scale-Metric-Learning
- 经典机器学习方法Large Scale Metric Learning的matlab代码-Classical machine learning methods Large Scale Metric Learning matlab code