Mo Chen
THU
Machine Learning researcher specialized in Bayesian inference and Deep Learning
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25 Fichiers
TÉLÉCHARGEMENTS
411
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178756
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NOMBRE MOYEN DE LIKES
Content Feed
A soumis
Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm
environ 5 ans il y a | 3 téléchargements |
A soumis
EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.
plus de 5 ans il y a | 24 téléchargements |
A soumis
Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling
plus de 5 ans il y a | 4 téléchargements |
A soumis
MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)
plus de 5 ans il y a | 6 téléchargements |
A soumis
Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox
presque 7 ans il y a | 99 téléchargements |
A soumis
Kmeans Clustering
Super fast and terse kmeans clustering.
environ 7 ans il y a | 80 téléchargements |
A soumis
Hidden Markov Model Toolbox (HMM)
Hidden Markov Model Toolbox
plus de 7 ans il y a | 24 téléchargements |
A soumis
Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding
environ 8 ans il y a | 2 téléchargements |
A soumis
Variational Bayesian Linear Regression
Variational Bayesian Linear Regression
environ 8 ans il y a | 3 téléchargements |
A soumis
Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.
environ 8 ans il y a | 3 téléchargements |
A soumis
Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection
environ 8 ans il y a | 2 téléchargements |
A soumis
Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).
environ 8 ans il y a | 3 téléchargements |
A soumis
Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling
environ 8 ans il y a | 13 téléchargements |
A soumis
Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation
environ 8 ans il y a | 12 téléchargements |
A soumis
Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
environ 8 ans il y a | 2 téléchargements |
A soumis
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
EM for Mixture of Bernoulli (Unsupervised Naive Bayes) for clustering binary data
environ 8 ans il y a | 1 téléchargement |
A soumis
Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization
environ 8 ans il y a | 51 téléchargements |
A soumis
Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data
environ 8 ans il y a | 3 téléchargements |
A soumis
Logistic Regression for Classification
Logistic regression for both binary and multiclass classification
environ 8 ans il y a | 4 téléchargements |
A soumis
Kernel Learning Toolbox
Machine Learning with kernels
environ 8 ans il y a | 5 téléchargements |
A soumis
Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
environ 8 ans il y a | 14 téléchargements |
A soumis
Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components
environ 8 ans il y a | 14 téléchargements |
A soumis
Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
environ 8 ans il y a | 30 téléchargements |
A résolu
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 ...
environ 12 ans il y a
A résolu
radius of a spherical planet
you just measured its surface area, that is the input.
environ 12 ans il y a
A résolu
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
environ 12 ans il y a
A résolu
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...
environ 12 ans il y a