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Feeds
Submitted
Kmedoids
Very fast matlab implementation of kmedoids clustering algorithm
7 years ago | 3 downloads |
Submitted
EM Algorithm for Gaussian Mixture Model (EM GMM)
EM algorithm for Gaussian mixture.
7 years ago | 1 download |
Submitted
Kalman Filter and Linear Dynamic System
Kalman Filter and Linear Dynamic System for time series modeling
7 years ago | 3 downloads |
Submitted
MLP Neural Network trained by backpropagation
Multilayer Perceptron (MLP) Neural Network (NN) for regression problem trained by backpropagation (backprop)
7 years ago | 1 download |
Submitted
Pattern Recognition and Machine Learning Toolbox
Pattern Recognition and Machine Learning Toolbox
8 years ago | 82 downloads |
Submitted
Variational Bayesian Relevance Vector Machine for Sparse Coding
Variational Bayesian Relevance Vector Machine for Sparse Coding
9 years ago | 2 downloads |
Submitted
Variational Bayesian Linear Regression
Variational Bayesian Linear Regression
9 years ago | 2 downloads |
Submitted
Log Probability Density Function (PDF)
numerically stable pdf of popular distributions in log scale.
9 years ago | 2 downloads |
Submitted
Probabilistic Linear Regression
Probabilistic Linear Regression with automatic model selection
9 years ago | 1 download |
Submitted
Pairwise Distance Matrix
Compute pairwise square Euclidean or Mahalanobis distances between points sets (fully optimized!).
9 years ago | 4 downloads |
Submitted
Dirichlet Process Gaussian Mixture Model
Dirichlet Process Gaussian Mixture Model aka Infinite GMM using Gibbs Sampling
9 years ago | 6 downloads |
Submitted
Bayesian Compressive Sensing (sparse coding) and Relevance Vector Machine
Bayesian methods (RVM) for learning sparse representation
9 years ago | 3 downloads |
Submitted
Probabilistic PCA and Factor Analysis
EM algorithm for fitting PCA and FA model. This is probabilistic treatment of dimensional reduction.
9 years ago | 3 downloads |
Submitted
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 ago | 1 download |
Submitted
Gram-Schmidt orthogonalization
Gram-Schmidt orthogonalization
9 years ago | 20 downloads |
Submitted
Naive Bayes Classifier
Naive Bayes Classifier working for both continue and discrete data
9 years ago | 1 download |
Submitted
Logistic Regression for Classification
Logistic regression for both binary and multiclass classification
9 years ago | 2 downloads |
Submitted
Normalized Mutual Information
Fully vectorized implementation NMI. NMI is often used for evaluating clustering results.
9 years ago | 6 downloads |
Submitted
Variational Bayesian Inference for Gaussian Mixture Model
Variational Bayes method (mean field) for GMM can auto determine the number of components
9 years ago | 4 downloads |
Submitted
Information Theory Toolbox
Functions for Information theory, such as entropy, mutual information, KL divergence, etc
9 years ago | 3 downloads |
