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Mo Chen


THU

Active since 2012

Followers: 1   Following: 0

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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

mer än 5 år ago | 4 downloads |

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

mer än 5 år ago | 9 downloads |

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

mer än 5 år ago | 4 downloads |

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

mer än 5 år ago | 13 downloads |

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

ungefär 7 år ago | 47 downloads |

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Kmeans Clustering
Super fast and terse kmeans clustering.

mer än 7 år ago | 50 downloads |

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Kernel Kmeans
kernel kmeans algorithm

mer än 7 år ago | 4 downloads |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

nästan 8 år ago | 18 downloads |

Submitted


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

mer än 8 år ago | 2 downloads |

Submitted


Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

mer än 8 år ago | 5 downloads |

Submitted


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

mer än 8 år ago | 1 download |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

mer än 8 år ago | 4 downloads |

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

mer än 8 år ago | 4 downloads |

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

mer än 8 år ago | 8 downloads |

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

mer än 8 år ago | 10 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.

mer än 8 år ago | 9 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

mer än 8 år ago | 2 downloads |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

mer än 8 år ago | 27 downloads |

Submitted


Adaboost
Adaboost for classification

mer än 8 år ago | 2 downloads |

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

mer än 8 år ago | 1 download |

Submitted


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

mer än 8 år ago | 7 downloads |

Submitted


Kernel Learning Toolbox
Machine Learning with kernels

mer än 8 år ago | 4 downloads |

Submitted


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

mer än 8 år ago | 3 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

mer än 8 år ago | 8 downloads |

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

mer än 8 år ago | 16 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 ...

mer än 12 år ago

Solved


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

mer än 12 år ago

Solved


inner product of two vectors
inner product of two vectors

mer än 12 år 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

mer än 12 år 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...

mer än 12 år ago

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