photo

Mo Chen


THU

Active since 2012

Followers: 3   Following: 0

Message

Machine Learning researcher specialized in Bayesian inference and Deep Learning

Statistics

All
  • Personal Best Downloads Level 5
  • First Review
  • 5-Star Galaxy Level 5
  • GitHub Submissions Level 1
  • First Submission
  • Solver

View badges

Feeds

View by

Submitted


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

6 years ago | 3 downloads |

Thumbnail

Submitted


EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.

6 years ago | 16 downloads |

Thumbnail

Submitted


Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling

6 years ago | 3 downloads |

Thumbnail

Submitted


MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)

6 years ago | 5 downloads |

Thumbnail

Submitted


Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox

7 years ago | 69 downloads |

Thumbnail

Submitted


Kmeans Clustering
Super fast and terse kmeans clustering.

7 years ago | 47 downloads |

Thumbnail

Submitted


Kernel Kmeans
kernel kmeans algorithm

7 years ago | 5 downloads |

Thumbnail

Submitted


Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

8 years ago | 36 downloads |

Submitted


Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding

8 years ago | 2 downloads |

Submitted


Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

8 years ago | 1 download |

Submitted


Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.

8 years ago | 1 download |

Submitted


Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

8 years ago | 5 downloads |

Thumbnail

Submitted


Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).

8 years ago | 4 downloads |

Submitted


Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling

8 years ago | 9 downloads |

Submitted


Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation

8 years ago | 6 downloads |

Thumbnail

Submitted


Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.

8 years ago | 3 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

8 years ago | 1 download |

Submitted


Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

8 years ago | 95 downloads |

Submitted


Adaboost
Adaboost for classification

8 years ago | 2 downloads |

Submitted


Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data

8 years ago | 2 downloads |

Submitted


Logistic Regression for Classification
Logistic regression for both binary and multiclass classification

8 years ago | 3 downloads |

Submitted


Kernel Learning Toolbox
Machine Learning with kernels

8 years ago | 3 downloads |

Submitted


Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.

8 years ago | 9 downloads |

Submitted


Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components

8 years ago | 12 downloads |

Thumbnail

Submitted


Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc

8 years ago | 12 downloads |