Mo Chen

THU

Active since 2012

Followers: 3 Following: 0

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Machine Learning researcher specialized in Bayesian inference and Deep Learning

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All

RANK
36 of 20,456

REPUTATION
19,342

AVERAGE RATING
4.50

CONTRIBUTIONS
25 Files

DOWNLOADS
204

ALL TIME DOWNLOADS
181780

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Submitted

Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

6 years ago | 1 download |

3.8 / 5

Submitted

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

6 years ago | 10 downloads |

4.7 / 5

Submitted

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

6 years ago | 1 download |

5.0 / 5

Submitted

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

6 years ago | 7 downloads |

4.9 / 5

Submitted

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

8 years ago | 52 downloads |

4.7 / 5

Submitted

Kmeans Clustering
Super fast and terse kmeans clustering.

8 years ago | 31 downloads |

4.3 / 5

Submitted

Kernel Kmeans
kernel kmeans algorithm

8 years ago | 2 downloads |

3.9 / 5

Submitted

Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

8 years ago | 11 downloads |

4.7 / 5

Submitted

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

9 years ago | 1 download |

0.0 / 5

Submitted

Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

9 years ago | 1 download |

4.0 / 5

Submitted

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

9 years ago | 1 download |

0.0 / 5

Submitted

Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

9 years ago | 1 download |

5.0 / 5

Submitted

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

9 years ago | 1 download |

3.9 / 5

Submitted

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

9 years ago | 4 downloads |

5.0 / 5

Submitted

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

9 years ago | 2 downloads |

4.8 / 5

Submitted

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

9 years ago | 1 download |

0.0 / 5

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

9 years ago | 1 download |

5.0 / 5

Submitted

Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

9 years ago | 29 downloads |

5.0 / 5

Submitted

Adaboost
Adaboost for classification

9 years ago | 1 download |

5.0 / 5

Submitted

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

9 years ago | 5 downloads |

5.0 / 5

Submitted

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

9 years ago | 1 download |

4.3 / 5

Submitted

Kernel Learning Toolbox
Machine Learning with kernels

9 years ago | 1 download |

5.0 / 5

Submitted

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

9 years ago | 14 downloads |

4.0 / 5

Submitted

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

9 years ago | 5 downloads |

4.1 / 5

Submitted

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

9 years ago | 19 downloads |

3.3 / 5