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Mo Chen


THU

Active since 2012

Machine Learning researcher specialized in Bayesian inference and Deep Learning

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  • 5-Star Galaxy Level 5
  • GitHub Submissions Level 1
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Submitted


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

casi 3 años ago | 9 downloads |

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

casi 3 años ago | 65 downloads |

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

alrededor de 3 años ago | 8 downloads |

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

alrededor de 3 años ago | 25 downloads |

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

más de 4 años ago | 72 downloads |

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Kmeans Clustering
Super fast and terse kmeans clustering.

más de 4 años ago | 97 downloads |

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Kernel Kmeans
kernel kmeans algorithm

más de 4 años ago | 6 downloads |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

alrededor de 5 años ago | 27 downloads |

Submitted


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

más de 5 años ago | 5 downloads |

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Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

más de 5 años ago | 2 downloads |

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

más de 5 años ago | 2 downloads |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

más de 5 años ago | 2 downloads |

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

más de 5 años ago | 7 downloads |

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

más de 5 años ago | 8 downloads |

Submitted


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

más de 5 años ago | 19 downloads |

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

más de 5 años ago | 8 downloads |

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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

más de 5 años ago | 2 downloads |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

más de 5 años ago | 95 downloads |

Submitted


Adaboost
Adaboost for classification

más de 5 años ago | 1 download |

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

más de 5 años ago | 7 downloads |

Submitted


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

más de 5 años ago | 8 downloads |

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Kernel Learning Toolbox
Machine Learning with kernels

más de 5 años ago | 6 downloads |

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

más de 5 años ago | 21 downloads |

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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

más de 5 años ago | 13 downloads |

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

más de 5 años ago | 45 downloads |

Solved


Remove all the consonants
Remove all the consonants in the given phrase. Example: Input s1 = 'Jack and Jill went up the hill'; Output s2 is 'a ...

casi 10 años ago

Solved


radius of a spherical planet
you just measured its surface area, that is the input.

casi 10 años ago

Solved


inner product of two vectors
inner product of two vectors

casi 10 años ago

Solved


Sorted highest to lowest?
Return 1 if the input is sorted from highest to lowest, 0 if not. Example: 1:7 -> 0 [7 5 2] -> 1

casi 10 años ago

Solved


Sort a list of complex numbers based on far they are from the origin.
Given a list of complex numbers z, return a list zSorted such that the numbers that are farthest from the origin (0+0i) appear f...

casi 10 años ago

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