Mo Chen
THU
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Machine Learning researcher specialized in Bayesian inference and Deep Learning
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Feeds
Inviato
Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm
circa 5 anni fa | 3 download |
Inviato
EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.
oltre 5 anni fa | 28 download |
Inviato
Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling
oltre 5 anni fa | 4 download |
Inviato
MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)
oltre 5 anni fa | 11 download |
Inviato
Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox
quasi 7 anni fa | 103 download |
Inviato
Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox
oltre 7 anni fa | 28 download |
Inviato
Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding
circa 8 anni fa | 2 download |
Inviato
Variational Bayesian Linear Regression
Variational Bayesian Linear Regression
circa 8 anni fa | 3 download |
Inviato
Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.
circa 8 anni fa | 2 download |
Inviato
Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection
circa 8 anni fa | 2 download |
Inviato
Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).
circa 8 anni fa | 17 download |
Inviato
Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling
circa 8 anni fa | 7 download |
Inviato
Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation
circa 8 anni fa | 7 download |
Inviato
Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
circa 8 anni fa | 4 download |
Inviato
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
circa 8 anni fa | 1 download |
Inviato
Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization
circa 8 anni fa | 106 download |
Inviato
Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data
circa 8 anni fa | 3 download |
Inviato
Logistic Regression for Classification
Logistic regression for both binary and multiclass classification
circa 8 anni fa | 5 download |
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Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
circa 8 anni fa | 14 download |
Inviato
Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components
circa 8 anni fa | 9 download |
Inviato
Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
circa 8 anni fa | 21 download |