Difference between revisions of "MLC"
From AIRWiki
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---- | ---- | ||
| + | ====== Good old stuff from stistics ====== | ||
| + | * - logistic regression and linear regression [Bernardo (?)] | ||
| + | * + LDA [Rossella (?) + Simone (?)] | ||
| − | ====== | + | ====== Good old stuf from machine learning====== |
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
| − | + | ||
* + Decision trees [Matt] | * + Decision trees [Matt] | ||
* ~ Decision rules [Matt + Andrea (?)] | * ~ Decision rules [Matt + Andrea (?)] | ||
* - Association rules [?] | * - Association rules [?] | ||
| − | ====== | + | ====== Statistical approaches ====== |
* + Bayesian classifiers [Matt] | * + Bayesian classifiers [Matt] | ||
| Line 26: | Line 22: | ||
* - KNN & friends, Locally weighted regression, | * - KNN & friends, Locally weighted regression, | ||
| − | ====== | + | ====== Kernel methods ====== |
~ SVM and Kernel methods [Matt (?) + Luigi (?) + (?)] | ~ SVM and Kernel methods [Matt (?) + Luigi (?) + (?)] | ||
| − | ==== | + | ==== Unsupervised ==== |
---- | ---- | ||
| + | ======Distributions of data====== | ||
| + | * + Feature selection and projection (PCA, ICA, ...) [Rossella (?)+ Simone] | ||
| + | * Kernel based density estimation, ... [Rossella (?) + Luigi (?) + Simone] | ||
| + | * Clustering | ||
====== Graphical models ====== | ====== Graphical models ====== | ||
| + | * ~ Bayesian networks [Matt + Luigi (?)] | ||
| + | ======Time Varing Models====== | ||
* + Markov Chains [Matt + Bernardo (?) +Simone] | * + Markov Chains [Matt + Bernardo (?) +Simone] | ||
| − | * | + | * + Hidden Markov Models [Matt + Simone (?)] |
| − | * | + | * - Dynamic Bayesian Networks |
| + | |||
| + | ==== Learning Techniques and Methodologies ==== | ||
| + | ---- | ||
| − | |||
| − | |||
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==== Knowledge representation ==== | ==== Knowledge representation ==== | ||
Revision as of 18:11, 26 January 2009
Contents
Introduction to the MLC a.k.a. the Machine Learning Curse
- + Machine learning introduction, paradigm, estimation ... [Matt]
Supervised
Good old stuff from stistics
- - logistic regression and linear regression [Bernardo (?)]
- + LDA [Rossella (?) + Simone (?)]
Good old stuf from machine learning
- + Decision trees [Matt]
- ~ Decision rules [Matt + Andrea (?)]
- - Association rules [?]
Statistical approaches
- + Bayesian classifiers [Matt]
Non parametric methods
- - KNN & friends, Locally weighted regression,
Kernel methods
~ SVM and Kernel methods [Matt (?) + Luigi (?) + (?)]
Unsupervised
Distributions of data
- + Feature selection and projection (PCA, ICA, ...) [Rossella (?)+ Simone]
- Kernel based density estimation, ... [Rossella (?) + Luigi (?) + Simone]
- Clustering
Graphical models
- ~ Bayesian networks [Matt + Luigi (?)]
Time Varing Models
- + Markov Chains [Matt + Bernardo (?) +Simone]
- + Hidden Markov Models [Matt + Simone (?)]
- - Dynamic Bayesian Networks
Learning Techniques and Methodologies
Knowledge representation
- - ontologies ...
Text analysis
- - text analysis, classification, relevance feedback, latent semantic [Ahmed]
Image analysis
Unmapped:
- - Adaboost, boosting and bagging ... [?]
- ~ Cross-Validation, Bootstrapping, and model evaluation [Matt (?)]
- + Clustering galore [Davide (?)]
indexing, ...
