Mo Chen

THU

Aktiv seit 2012

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Machine Learning researcher specialized in Bayesian inference and Deep Learning

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Gesendet

Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm

etwa 4 Jahre vor | 10 Downloads |

Gesendet

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

etwa 4 Jahre vor | 35 Downloads |

Gesendet

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

etwa 4 Jahre vor | 4 Downloads |

Gesendet

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

etwa 4 Jahre vor | 11 Downloads |

Gesendet

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

mehr als 5 Jahre vor | 115 Downloads |

Gesendet

Kmeans Clustering
Super fast and terse kmeans clustering.

fast 6 Jahre vor | 66 Downloads |

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Kernel Kmeans
kernel kmeans algorithm

fast 6 Jahre vor | 6 Downloads |

Gesendet

Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox

mehr als 6 Jahre vor | 33 Downloads |

Gesendet

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

fast 7 Jahre vor | 1 Download |

Gesendet

Variational Bayesian Linear Regression
Variational Bayesian Linear Regression

fast 7 Jahre vor | 1 Download |

Gesendet

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

fast 7 Jahre vor | 4 Downloads |

Gesendet

Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection

fast 7 Jahre vor | 3 Downloads |

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

fast 7 Jahre vor | 3 Downloads |

Gesendet

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

fast 7 Jahre vor | 4 Downloads |

Gesendet

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

fast 7 Jahre vor | 8 Downloads |

Gesendet

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

fast 7 Jahre vor | 1 Download |

Gesendet

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

fast 7 Jahre vor | 4 Downloads |

Gesendet

Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization

fast 7 Jahre vor | 35 Downloads |

Gesendet

Adaboost
Adaboost for classification

fast 7 Jahre vor | 4 Downloads |

Gesendet

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

fast 7 Jahre vor | 3 Downloads |

Gesendet

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

fast 7 Jahre vor | 7 Downloads |

Gesendet

Kernel Learning Toolbox
Machine Learning with kernels

fast 7 Jahre vor | 5 Downloads |

Gesendet

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

fast 7 Jahre vor | 18 Downloads |

Gesendet

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

fast 7 Jahre vor | 12 Downloads |

Gesendet

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

fast 7 Jahre vor | 18 Downloads |

Gelöst

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 ...

fast 11 Jahre vor

Gelöst

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

fast 11 Jahre vor

Gelöst

inner product of two vectors
inner product of two vectors

fast 11 Jahre vor

Gelöst

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

fast 11 Jahre vor

Gelöst

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...

fast 11 Jahre vor

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