Tuesday 6 October 2015

Machine Learning Some Maps

A number of maps that will help to reconstruct the knowledge of Machine Learning ...

1. Classic Machine Learning

2. More detailed

3. Data Mining

4.
Terminology:
BESOM: A Cerebral Cortex Model based on Bayesian Networks
DeSTIN: a scalable deep learning architecture that relies on a combination of unsupervised learning and Bayesian inference
DP: Dynamic programming

DPM: Dirichlet Process Mixture
EM: Expectation–maximization algorithm

HDP: Hierarchical Dirichlet process
HMM: Hidden Markov Model
HPYLM: Hierarchical Pitman-Yor Language Model
HTM: Hierarchical Temporal Memory
iHMM: infinite Hidden Markov Model
MCMC: Markov chain Monte Carlo
NPYLM: Nested Pitman-Yor Language Model
SOINN: Self-Organizing Incremental Neural Network
SOM: Self-Organizing Map


5. Another View


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