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Mo Chen


THU

Actif depuis 2012

Followers: 3   Following: 0

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Machine Learning researcher specialized in Bayesian inference and Deep Learning

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A soumis


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

presque 6 ans il y a | 3 téléchargements |

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

presque 6 ans il y a | 18 téléchargements |

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

environ 6 ans il y a | 3 téléchargements |

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

environ 6 ans il y a | 5 téléchargements |

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

plus de 7 ans il y a | 69 téléchargements |

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Kmeans Clustering
Super fast and terse kmeans clustering.

plus de 7 ans il y a | 48 téléchargements |

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Kernel Kmeans
kernel kmeans algorithm

plus de 7 ans il y a | 5 téléchargements |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

environ 8 ans il y a | 36 téléchargements |

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

plus de 8 ans il y a | 2 téléchargements |

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Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

plus de 8 ans il y a | 1 téléchargement |

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

plus de 8 ans il y a | 1 téléchargement |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

plus de 8 ans il y a | 5 téléchargements |

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

plus de 8 ans il y a | 4 téléchargements |

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

plus de 8 ans il y a | 9 téléchargements |

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

plus de 8 ans il y a | 6 téléchargements |

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

plus de 8 ans il y a | 3 téléchargements |

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EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data

plus de 8 ans il y a | 1 téléchargement |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

plus de 8 ans il y a | 95 téléchargements |

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Adaboost
Adaboost for classification

plus de 8 ans il y a | 2 téléchargements |

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

plus de 8 ans il y a | 2 téléchargements |

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

plus de 8 ans il y a | 3 téléchargements |

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Kernel Learning Toolbox
Machine Learning with kernels

plus de 8 ans il y a | 3 téléchargements |

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

plus de 8 ans il y a | 8 téléchargements |

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

plus de 8 ans il y a | 13 téléchargements |

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

plus de 8 ans il y a | 9 téléchargements |