Issues
- 0
Implement Gaussian process
#57 opened by Hiroaki-K4 - 0
Implement Nadaraya-Watson model
#54 opened by Hiroaki-K4 - 0
Draw kernel function
#52 opened by Hiroaki-K4 - 0
Create mixture density network
#45 opened by Hiroaki-K4 - 0
Implement stochastic generative model
#43 opened by Hiroaki-K4 - 0
Implement perceptron algorithm
#42 opened by Hiroaki-K4 - 0
Implement Fisher's linear discriminant
#40 opened by Hiroaki-K4 - 0
Implement maximization of evidence function
#37 opened by Hiroaki-K4 - 0
Evaluate evidence function
#35 opened by Hiroaki-K4 - 0
Implement equivalent kernel
#33 opened by Hiroaki-K4 - 0
Create predicted distribution
#31 opened by Hiroaki-K4 - 0
Plot sequential bayesian learning
#29 opened by Hiroaki-K4 - 0
Implement bias-variance decomposition
#27 opened by Hiroaki-K4 - 0
Plot 3 basis functions
#25 opened by Hiroaki-K4 - 0
Implement linear model
#23 opened by Hiroaki-K4 - 0
Plot mixture of Gaussians
#20 opened by Hiroaki-K4 - 0
Plot von Mises distribution
#18 opened by Hiroaki-K4 - 0
Draw student's t-distribution
#16 opened by Hiroaki-K4 - 0
Plot gaussian distribution with known average
#14 opened by Hiroaki-K4 - 0
Plot Bayesian inference for the mean of a Gaussian distribution with known variance
#12 opened by Hiroaki-K4 - 0
Plot marginal Gaussian distribution
#11 opened by Hiroaki-K4 - 0
Plot conditional Gaussian distribution
#9 opened by Hiroaki-K4 - 0
- 0
- 0
Draw gaussian distribution
#3 opened by Hiroaki-K4 - 0
Update README about Dirichlet distribution
#1 opened by Hiroaki-K4