Community Profile

photo

Mo Chen


THU

Attivo dal 2012

Followers: 0   Following: 0

Contatto

Machine Learning researcher specialized in Bayesian inference and Deep Learning

Statistiche

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

Visualizza badge

Feeds

Visto da

Inviato


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

circa 5 anni fa | 3 download |

Thumbnail

Inviato


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

oltre 5 anni fa | 28 download |

Thumbnail

Inviato


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

oltre 5 anni fa | 4 download |

Thumbnail

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 |

Thumbnail

Inviato


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

quasi 7 anni fa | 103 download |

Thumbnail

Inviato


Kmeans Clustering
Super fast and terse kmeans clustering.

circa 7 anni fa | 56 download |

Thumbnail

Inviato


Kernel Kmeans
kernel kmeans algorithm

circa 7 anni fa | 6 download |

Thumbnail

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 |

Thumbnail

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 |

Thumbnail

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


Adaboost
Adaboost for classification

circa 8 anni fa | 3 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 |

Inviato


Kernel Learning Toolbox
Machine Learning with kernels

circa 8 anni fa | 3 download |

Inviato


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 |

Thumbnail

Inviato


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

circa 8 anni fa | 21 download |