Mo Chen
THU
Machine Learning researcher specialized in Bayesian inference and Deep Learning
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Awarded to Mo Chen on 01 Nov 2019
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Awarded to Mo Chen on 09 Oct 2019
Your submissions received 25 five star ratings
Awarded to Mo Chen on 09 Oct 2019
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Awarded to Mo Chen on 09 Oct 2019
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Awarded to Mo Chen on 09 Oct 2019
Solve a problem for the first time
Awarded to Mo Chen on 30 Jan 2012
Content Feed
Submitted
Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm
3 years ago | 8 downloads |
Submitted
EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.
3 years ago | 42 downloads |
Submitted
Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling
3 years ago | 6 downloads |
Submitted
MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)
3 years ago | 33 downloads |
Submitted
Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox
4 years ago | 43 downloads |
Submitted
Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox
5 years ago | 12 downloads |
Submitted
Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding
6 years ago | 4 downloads |
Submitted
Variational Bayesian Linear Regression
Variational Bayesian Linear Regression
6 years ago | 6 downloads |
Submitted
Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.
6 years ago | 2 downloads |
Submitted
Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection
6 years ago | 3 downloads |
Submitted
Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).
6 years ago | 6 downloads |
Submitted
Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling
6 years ago | 12 downloads |
Submitted
Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation
6 years ago | 12 downloads |
Submitted
Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
6 years ago | 5 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
6 years ago | 4 downloads |
Submitted
Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization
6 years ago | 55 downloads |
Submitted
Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data
6 years ago | 8 downloads |
Submitted
Logistic Regression for Classification
Logistic regression for both binary and multiclass classification
6 years ago | 14 downloads |
Submitted
Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
6 years ago | 19 downloads |
Submitted
Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components
6 years ago | 12 downloads |
Submitted
Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
6 years ago | 22 downloads |
