FilesExpand file tree

master

/

doc

/

Copy path

Directory actions

More options

More options

Directory actions

More options

More options

Latest commit

 

History

History

History

 

 

master

/

doc

/

Copy path

Top

Folders and files

Name		Name	Last commit message	Last commit date
parent directory ..
10Algorithms-08.pdf		10Algorithms-08.pdf
2003_CSB_Minimum Redundancy Feature Selection from Microarray Gene Expression Data.pdf		2003_CSB_Minimum Redundancy Feature Selection from Microarray Gene Expression Data.pdf
2005_TPAMI_FeaSelection_mRMR.pdf		2005_TPAMI_FeaSelection_mRMR.pdf
A Brief Introduction to Boosting.pdf		A Brief Introduction to Boosting.pdf
A Few Useful Things to Know about Machine Learning.pdf		A Few Useful Things to Know about Machine Learning.pdf
A Short Introduction to Boosting.pdf		A Short Introduction to Boosting.pdf
An Introduction to Restricted Boltzmann Machines.pdf		An Introduction to Restricted Boltzmann Machines.pdf
BOOSTING ALGORITHMS REGULARIZATION PREDICTION AND MODEL FITTING.pdf		BOOSTING ALGORITHMS REGULARIZATION PREDICTION AND MODEL FITTING.pdf
Boosted Regression (Boosting) An introductory tutorial and a Stata plugin.pdf		Boosted Regression (Boosting) An introductory tutorial and a Stata plugin.pdf
Boosting multi-step autoregressive forecasts.pdf		Boosting multi-step autoregressive forecasts.pdf
C4.5-Programs for machine learning.pdf		C4.5-Programs for machine learning.pdf
Convex Optimization.pdf		Convex Optimization.pdf
Cryptographic Limitations on Learning Boolean Formulae and Finite Automata.pdf		Cryptographic Limitations on Learning Boolean Formulae and Finite Automata.pdf
Do we Need Hundreds of Classifiers to Solve Real World classification problems.pdf		Do we Need Hundreds of Classifiers to Solve Real World classification problems.pdf
EM_examples.pdf		EM_examples.pdf
Full-CheatSheet-on-Machine-Learning-Algorithms(Python and R Codes).pdf		Full-CheatSheet-on-Machine-Learning-Algorithms(Python and R Codes).pdf
GREEDY FUNCTION APPROXIMATION- A GRADING BOOSTING MACHINE.pdf		GREEDY FUNCTION APPROXIMATION- A GRADING BOOSTING MACHINE.pdf
Greedy Function Approximation A Gradient Boosting Machine.pdf		Greedy Function Approximation A Gradient Boosting Machine.pdf
LDA_zh.pdf		LDA_zh.pdf
Least Squares Quantization in PCM.pdf		Least Squares Quantization in PCM.pdf
Machine Learning Algorithms for Classification.pdf		Machine Learning Algorithms for Classification.pdf
PRML_En.pdf		PRML_En.pdf
PRML_Zh.pdf		PRML_Zh.pdf
Recurrent Convolutional Neural Network for Object Recognition.pdf		Recurrent Convolutional Neural Network for Object Recognition.pdf
Sequential Minimal Optimization A Fast Algorithm for Training Support Vector Machines.pdf		Sequential Minimal Optimization A Fast Algorithm for Training Support Vector Machines.pdf
Stochastic Gradient Descent tricks-2012.pdf		Stochastic Gradient Descent tricks-2012.pdf
Subset Selection by Pareto Optimization（子集选择）.pdf		Subset Selection by Pareto Optimization（子集选择）.pdf
Supervised_Sequence_Labelling_with_RNNs-Alex_Graves.pdf		Supervised_Sequence_Labelling_with_RNNs-Alex_Graves.pdf
The Boosting Approach to Machine Learning An Overview.pdf		The Boosting Approach to Machine Learning An Overview.pdf
The Elements of Statistical Learning .pdf		The Elements of Statistical Learning .pdf
The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling.pdf		The Evolution of Boosting Algorithms From Machine Learning to Statistical Modelling.pdf
The strength of weak learnability.pdf		The strength of weak learnability.pdf
The wake-sleep algorithm for unsupervised neural networks.pdf		The wake-sleep algorithm for unsupervised neural networks.pdf
boosting.pdf		boosting.pdf
boostingexperiments.pdf		boostingexperiments.pdf
clustering_ppt.pdf		clustering_ppt.pdf
cse546wi12LinearRegression-PPT.pdf		cse546wi12LinearRegression-PPT.pdf
cvpr2012-Multi-column Deep Neural Networks for Image Classification.pdf		cvpr2012-Multi-column Deep Neural Networks for Image Classification.pdf
em_tutorial-What is the expectation maximization algorithm.pdf		em_tutorial-What is the expectation maximization algorithm.pdf
greedy function approximation- a grading.pdf		greedy function approximation- a grading.pdf
time_ser.pdf		time_ser.pdf
凸约束二次规划问题求解的一般方法.pdf		凸约束二次规划问题求解的一般方法.pdf
基于互信息的特征选择.pdf		基于互信息的特征选择.pdf
常用距离计算汇总.pdf		常用距离计算汇总.pdf
特征选择及半监督分类方法研究.pdf		特征选择及半监督分类方法研究.pdf
用于神经网络权值稀疏化的L_1_2_正则化方法.pdf		用于神经网络权值稀疏化的L_1_2_正则化方法.pdf
统计学习方法.pdf		统计学习方法.pdf
随机森林特征选择.pdf		随机森林特征选择.pdf
View all files