Mo Chen
THU
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Machine Learning researcher specialized in Bayesian inference and Deep Learning
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25 Files
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Your submissions were downloaded 1000 or more times in a month
Awarded to Mo Chen on 01 Nov 2019
Publish your first review
Awarded to Mo Chen on 09 Oct 2019
Your submissions received 25 five star ratings
Awarded to Mo Chen on 09 Oct 2019
Have 1 submission connected to GitHub
Awarded to Mo Chen on 09 Oct 2019
Publish your first submission
Awarded to Mo Chen on 09 Oct 2019
Solve a problem for the first time
Awarded to Mo Chen on 30 Jan 2012
Feeds
Submitted
Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm
ungefär 5 år ago | 2 downloads |
Submitted
EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.
mer än 5 år ago | 30 downloads |
Submitted
Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling
mer än 5 år ago | 4 downloads |
Submitted
MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)
mer än 5 år ago | 10 downloads |
Submitted
Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox
nästan 7 år ago | 101 downloads |
Submitted
Kmeans Clustering
Super fast and terse kmeans clustering.
ungefär 7 år ago | 55 downloads |
Submitted
Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox
mer än 7 år ago | 27 downloads |
Submitted
Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding
ungefär 8 år ago | 2 downloads |
Submitted
Variational Bayesian Linear Regression
Variational Bayesian Linear Regression
ungefär 8 år ago | 3 downloads |
Submitted
Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.
ungefär 8 år ago | 4 downloads |
Submitted
Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection
ungefär 8 år ago | 2 downloads |
Submitted
Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).
ungefär 8 år ago | 8 downloads |
Submitted
Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling
ungefär 8 år ago | 7 downloads |
Submitted
Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation
ungefär 8 år ago | 11 downloads |
Submitted
Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
ungefär 8 år ago | 4 downloads |
Submitted
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
ungefär 8 år ago | 1 download |
Submitted
Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization
ungefär 8 år ago | 91 downloads |
Submitted
Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data
ungefär 8 år ago | 3 downloads |
Submitted
Logistic Regression for Classification
Logistic regression for both binary and multiclass classification
ungefär 8 år ago | 5 downloads |
Submitted
Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
ungefär 8 år ago | 13 downloads |
Submitted
Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components
ungefär 8 år ago | 10 downloads |
Submitted
Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
ungefär 8 år ago | 22 downloads |
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