
Mo Chen
THU
Machine Learning researcher specialized in Bayesian inference and Deep Learning
Statistics
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Content Feed
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 |

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 |

Gesendet
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
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
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
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