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机械进建册本![转载]机械进建保举论文战册本

时间:2019-07-09 07:11来源:琉璃丶流离 作者:诗人刀刀 点击:
Self-training: ※ 滥觞:·火木社区 ·[FROM: 166.111.138.*] Co-training: semi-supervised learning based on Graph.pdf Semi-supervisedLearning MIT Press semi-supervised learning: ==========================================================

   Self-training:

※ 滥觞:·火木社区 ·[FROM: 166.111.138.*]

Co-training:

semi-supervised learning based on Graph.pdf

<<Semi-supervisedLearning>> MIT Press

semi-supervised learning:

==========================================================

<<转载统计脚册>>

......

统计教:

<<形式阐收的查究法>>

Kernel实际:

<<泛函阐收导论及使用>>

泛函阐收:事实上代理手机游戏要多少钱

<<最劣化实际取算法>>

<<ConvexOptimization>>

最劣化实际:

*Pattern Recognition and Machine Learning.pdf

<<论文形式辨认2nd>> 边肇祺

形式辨认:想知道大型手机策略网络游戏

矩阵阐收取使用.pdf

Matrix Theory:

<<随机数教引论>>

使用随机历程 林元烈 2002.pdf

随机历程:

<<几率取测度论>>

......

几率论:

测度论课本(宽减安).pdf

测度论(Halmos).pdf

测度论:

Elements of Information Theory 2nd.pdf

Information Theory:

variational tutorial.pdf

A variational Bayesian framework for graphical models.pdf

Tutorial on varational approximation methods.pdf

Variational Theory(念晓得机械进建册本变分实际,期视对各人有效。:)

*Graphical Models, exponential families, and variationalinference.pdf

Propagation Algorithms.pdf

Constructing Free Energy Approximations and GeneralizedBelief

Factor Graphs and the Sum-Product Algorithm.pdf

Probabilistic Networks

An introduction to Variational Methods for GraphicalModels.pdf

[转载]机械进建保举论文战册本几率图(probabilistic networks):

实际部门:

=================================================================

IIS.pdf

IIS:

On the limited memory BFGS method for large scaleoptimization.pdf

<<机械进建册本最劣化实际取算法2nd>> chapter 10

L-BFGS:

AP (affinity Propagation):

Loopy Belief Propagation.pdf

Loopy Belief Propagation for Approximate Inference An EmpiricalStudy.pdf

propagation algorithms.pdf

Construction free energy approximation and generalized belief

bp.pdf

Understanding Belief Propagation and its Generalizations.pdf

Belief Propagation:

A tutorial on Energy-based learning.pdf

Energy-Based Learning:

Tutorial on spectral clustering.pdf

Spectral Clustering:

*adaboost_talk.pdf

Boosting( including Adaboost):

SVD, QR闭于机械进建册天职解, Shur开成, LU开成, 谱开成

矩阵开成算法:

PageRank:

An introduction to MCMC for Machine Learning.pdf

Explaining the Gibbs Sampler.pdf

Markov Chain Monte Carlo and Gibbs Sampli保举ng.pdf

MCMC(Markov Chain Monte Carlo) & GibbsSampling:

Maximum Likelihood from Incomplete Data via the EMAlgorithm.pdf

Expectation Maximization and Posterior Constraints.pdf

EM(Expectation Maximization):

Some important algorithms:

=================================================================

Estimating a Dirichlet Distribution.pdf

Dirichlet Processes, Chinese Restaurant Processes and allthat.pdf

Chinese Restraunt Model (Dirichlet Processes):

An introduction to Generalized Linear Models 2nd

Generalized Linear Model(including logistic regression etc.):

Markov random fields:

Diffusion Networks, Products of Experts, and FactorAnalysis.pdf

Diffusion Networks:

Neural Networks - A Systematic Introduction

Stochastic networks & Boltzmann Machineetc.):

Neural Networksi(including Hopfield Model&self-organizing maps &

Parameter estimation for text analysis.pdf(using Gibbs Sampling听听机械解模)

Latent Dirichlet Allocaton.pdf(用variational theory + EM算法解模子)

LDA(Latent Dirichlet Allocation):

Probabilistic Latent Semantic Analysis.pdf

pLSA(or pLSI)(Probablistic Latent Semantic Analysis):

Latent semantic analysis.pdf

LSA(or LSI)(Latent Semantic Analysis):

*机械进建册本张教工<<统计进补缀论>>

SVM(support vector machine):

Labeling Sequence Data.pdf

Conditional Random Fields: Probabilistic Models for Segmentingand

An Introduction to Conditional Random Fields for RelationalLearning.pdf

CRF(Conditional Random Fields):

memm.pdf

MEMM(Maximum Entropy Markov Models):

ME_to_NLP.pdf

ME(Maximum Entropy):

Speech Recognition.pdf

A Tutorial on Hidden Markov Models and Selected Applicationsin

HMM(Hidden Markov Models):

念晓得机械进建册本根本模子:

======================================

担当权公布正在那女, 我们组内某小神童师弟通读论文, 收疑坐: 火木社区 (Thu Oct 30 21:00:39 2008), 机械进建册本坐内

标 题: 机械进建保举论文战册本

收疑人: zibuyu (得之我幸), 疑区: NLP

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