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Mo Chen


THU

自 2012 起处于活动状态

Followers: 3   Following: 0

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Machine Learning researcher specialized in Bayesian inference and Deep Learning

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Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

6 years 前 | 1 次下载 |

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

6 years 前 | 13 次下载 |

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

6 years 前 | 5 次下载 |

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

6 years 前 | 10 次下载 |

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

7 years 前 | 61 次下载 |

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Kmeans Clustering
Super fast and terse kmeans clustering.

8 years 前 | 33 次下载 |

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Kernel Kmeans
kernel kmeans algorithm

8 years 前 | 2 次下载 |

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Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

8 years 前 | 14 次下载 |

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

9 years 前 | 1 次下载 |

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Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

9 years 前 | 1 次下载 |

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

9 years 前 | 1 次下载 |

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Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

9 years 前 | 1 次下载 |

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

9 years 前 | 3 次下载 |

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

9 years 前 | 6 次下载 |

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

9 years 前 | 4 次下载 |

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

9 years 前 | 1 次下载 |

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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

9 years 前 | 1 次下载 |

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Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

9 years 前 | 22 次下载 |

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Adaboost
Adaboost for classification

9 years 前 | 3 次下载 |

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

9 years 前 | 5 次下载 |

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

9 years 前 | 1 次下载 |

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Kernel Learning Toolbox
Machine Learning with kernels

9 years 前 | 1 次下载 |

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

9 years 前 | 10 次下载 |

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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

9 years 前 | 8 次下载 |

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

9 years 前 | 18 次下载 |

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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 ...

13 years 前

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

13 years 前

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inner product of two vectors
inner product of two vectors

13 years 前

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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

13 years 前

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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...

13 years 前

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