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Mo Chen


THU

46 total contributions since 2012

Machine Learning researcher specialized in Bayesian inference and Deep Learning

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Submitted


Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

8 mois ago | 17 downloads |

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

10 mois ago | 81 downloads |

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

10 mois ago | 33 downloads |

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

10 mois ago | 53 downloads |

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

plus de 2 ans ago | 120 downloads |

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Kmeans Clustering
Super fast and terse kmeans clustering.

plus de 2 ans ago | 42 downloads |

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Kernel Kmeans
kernel kmeans algorithm

plus de 2 ans ago | 11 downloads |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

environ 3 ans ago | 33 downloads |

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

plus de 3 ans ago | 5 downloads |

Submitted


Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

plus de 3 ans ago | 13 downloads |

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

plus de 3 ans ago | 1 download |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

plus de 3 ans ago | 4 downloads |

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

plus de 3 ans ago | 10 downloads |

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

plus de 3 ans ago | 7 downloads |

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

plus de 3 ans ago | 13 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.

plus de 3 ans 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

plus de 3 ans ago | 4 downloads |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

plus de 3 ans ago | 16 downloads |

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Adaboost
Adaboost for classification

plus de 3 ans ago | 3 downloads |

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

plus de 3 ans ago | 4 downloads |

Submitted


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

plus de 3 ans ago | 12 downloads |

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Kernel Learning Toolbox
Machine Learning with kernels

plus de 3 ans ago | 6 downloads |

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

plus de 3 ans ago | 18 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

plus de 3 ans ago | 24 downloads |

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

plus de 3 ans ago | 58 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 ...

plus de 7 ans ago

Solved


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

plus de 7 ans ago

Solved


inner product of two vectors
inner product of two vectors

plus de 7 ans 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

plus de 7 ans 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...

plus de 7 ans ago

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