Difference between revisions of "Template:Machine learning bar"
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(added borders so sections easier to see, heading2 formatting, less cryptic linknames (mostly content4), list formatting, belowclass/style, added category) |
imported>Eudamonic (moved Glossary of artificial intelligence to Related articles) |
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| − | {{Sidebar | + | {{Sidebar with collapsible lists |
| name = Machine learning bar | | name = Machine learning bar | ||
| − | | title = [[Machine learning]] and<br/>[[data mining]] | + | | pretitle = Part of a series on |
| − | | imagestyle = | + | | title = [[Machine learning]]<br/>and<br/>[[data mining]] |
| − | | image = [[File: | + | | imagestyle = |
| + | | image = [[File:Multi-Layer Neural Network-Vector-Blank.svg|150px]] | ||
| headingstyle = border-top:1px solid #aaa; | | headingstyle = border-top:1px solid #aaa; | ||
| − | | | + | | list1title = Problems |
| − | | | + | | list1 = <div class="hlist"> |
* [[Statistical classification|Classification]] | * [[Statistical classification|Classification]] | ||
* [[Cluster analysis|Clustering]] | * [[Cluster analysis|Clustering]] | ||
* [[Regression analysis|Regression]] | * [[Regression analysis|Regression]] | ||
* [[Anomaly detection]] | * [[Anomaly detection]] | ||
| + | * [[Automated machine learning|AutoML]] | ||
* [[Association rule learning|Association rules]] | * [[Association rule learning|Association rules]] | ||
* [[Reinforcement learning]] | * [[Reinforcement learning]] | ||
* [[Structured prediction]] | * [[Structured prediction]] | ||
| + | * [[Feature engineering]] | ||
* [[Feature learning]] | * [[Feature learning]] | ||
* [[Online machine learning|Online learning]] | * [[Online machine learning|Online learning]] | ||
* [[Semi-supervised learning]] | * [[Semi-supervised learning]] | ||
| + | * [[Unsupervised learning]] | ||
| + | * [[Learning to rank]] | ||
* [[Grammar induction]] | * [[Grammar induction]] | ||
</div> | </div> | ||
| − | | | + | | list2title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }} |
| − | | | + | | list2 = <div class="hlist"> |
* [[Decision tree learning|Decision trees]] | * [[Decision tree learning|Decision trees]] | ||
| − | * [[k-nearest neighbors | + | * [[Ensemble learning|Ensembles]] |
| + | ** [[Bootstrap aggregating|Bagging]] | ||
| + | ** [[Boosting (machine learning)|Boosting]] | ||
| + | ** [[Random forest]] | ||
| + | * [[k-nearest neighbors algorithm|''k''-NN]] | ||
* [[Linear regression]] | * [[Linear regression]] | ||
* [[Naive Bayes classifier|Naive Bayes]] | * [[Naive Bayes classifier|Naive Bayes]] | ||
| − | * [[Artificial neural | + | * [[Artificial neural network]]s |
* [[Logistic regression]] | * [[Logistic regression]] | ||
* [[Perceptron]] | * [[Perceptron]] | ||
| − | * [[Support vector machine|Support vector machine (SVM)]] | + | * [[Relevance vector machine|Relevance vector machine (RVM)]] |
| + | * [[Support-vector machine|Support vector machine (SVM)]] | ||
</div> | </div> | ||
| − | | | + | | list3title = [[Cluster analysis|Clustering]] |
| − | | | + | | list3 = <div class="hlist"> |
| − | * [[BIRCH | + | * [[BIRCH]] |
| + | * [[CURE data clustering algorithm|CURE]] | ||
* [[Hierarchical clustering|Hierarchical]] | * [[Hierarchical clustering|Hierarchical]] | ||
* [[k-means clustering|''k''-means]] | * [[k-means clustering|''k''-means]] | ||
| − | * [[ | + | * [[Expectation–maximization algorithm|Expectation–maximization (EM)]] |
* <br/>[[DBSCAN]] | * <br/>[[DBSCAN]] | ||
* [[OPTICS algorithm|OPTICS]] | * [[OPTICS algorithm|OPTICS]] | ||
| Line 44: | Line 55: | ||
</div> | </div> | ||
| − | | | + | | list4title = [[Dimensionality reduction]] |
| − | | | + | | list4 = <div class="hlist"> |
* [[Factor analysis]] | * [[Factor analysis]] | ||
| − | * [[Canonical correlation | + | * [[Canonical correlation|CCA]] |
| − | * [[Independent component analysis| | + | * [[Independent component analysis|ICA]] |
| − | * [[Linear discriminant analysis| | + | * [[Linear discriminant analysis|LDA]] |
| − | * [[Non-negative matrix factorization| | + | * [[Non-negative matrix factorization|NMF]] |
| − | * [[Principal component analysis| | + | * [[Principal component analysis|PCA]] |
| + | * [[Proper generalized decomposition|PGD]] | ||
| + | * [[t-distributed stochastic neighbor embedding|t-SNE]] | ||
</div> | </div> | ||
| − | | | + | | list5title = [[Structured prediction]] |
| − | | | + | | list5 = <div class="hlist"> |
| − | * [[ | + | * [[Graphical model]]s |
| − | * [[ | + | ** [[Bayesian network|Bayes net]] |
| − | * [[ | + | ** [[Conditional random field]] |
| + | ** [[Hidden Markov model|Hidden Markov]] | ||
</div> | </div> | ||
| − | | | + | | list6title = [[Anomaly detection]] |
| − | | | + | | list6 = <div class="hlist"> |
* [[k-nearest neighbors classification|''k''-NN]] | * [[k-nearest neighbors classification|''k''-NN]] | ||
* [[Local outlier factor]] | * [[Local outlier factor]] | ||
</div> | </div> | ||
| − | | | + | | list7title = [[Artificial neural network]] |
| − | | | + | | list7 = <div class="hlist"> |
| − | * [[ | + | * [[Autoencoder]] |
| + | * [[Cognitive computing]] | ||
| + | * [[Deep learning]] | ||
| + | * [[DeepDream]] | ||
| + | * [[Multilayer perceptron]] | ||
| + | * [[Recurrent neural network|RNN]] | ||
| + | ** [[Long short-term memory|LSTM]] | ||
| + | ** [[Gated recurrent unit|GRU]] | ||
| + | ** [[Echo state network|ESN]] | ||
| + | * [[Restricted Boltzmann machine]] | ||
| + | * [[Generative adversarial network|GAN]] | ||
| + | * [[Self-organizing map|SOM]] | ||
| + | * [[Convolutional neural network]] | ||
| + | ** [[U-Net]] | ||
| + | * [[Transformer (machine learning model)|Transformer]] | ||
| + | * [[Spiking neural network]] | ||
| + | * [[Memtransistor]] | ||
| + | * [[Electrochemical RAM]] (ECRAM) | ||
| + | </div> | ||
| + | |||
| + | | list8title = [[Reinforcement learning]] | ||
| + | | list8 = <div class="hlist"> | ||
| + | * [[Q-learning]] | ||
| + | * [[State–action–reward–state–action|SARSA]] | ||
| + | * [[Temporal difference learning|Temporal difference (TD)]] | ||
| + | </div> | ||
| + | |||
| + | | list9title = Theory | ||
| + | | list9 = <div class="hlist"> | ||
| + | * [[Bias–variance tradeoff]] | ||
* [[Computational learning theory]] | * [[Computational learning theory]] | ||
* [[Empirical risk minimization]] | * [[Empirical risk minimization]] | ||
| − | * [[Probably approximately correct learning| | + | * [[Occam learning]] |
| − | * [[Vapnik–Chervonenkis theory| | + | * [[Probably approximately correct learning|PAC learning]] |
| + | * [[Statistical learning theory|Statistical learning]] | ||
| + | * [[Vapnik–Chervonenkis theory|VC theory]] | ||
| + | </div> | ||
| + | |||
| + | | list10title = Machine-learning venues | ||
| + | | list10 = <div class="hlist"> | ||
| + | * [[Conference on Neural Information Processing Systems|NeurIPS]] | ||
| + | * [[International Conference on Machine Learning|ICML]] | ||
| + | * [[Machine Learning (journal)|ML]] | ||
| + | * [[Journal of Machine Learning Research|JMLR]] | ||
| + | * [https://arxiv.org/list/cs.LG/recent ArXiv:cs.LG] | ||
| + | </div> | ||
| + | |||
| + | | list11title = Related articles | ||
| + | | list11 = <div class="hlist"> | ||
| + | * [[Glossary of artificial intelligence]] | ||
| + | * [[List of datasets for machine-learning research]] | ||
| + | * [[Outline of machine learning]] | ||
</div> | </div> | ||
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}}<noinclude> | }}<noinclude> | ||
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{{doc | {{doc | ||
|content= | |content= | ||
| − | + | }} | |
[[Category:Statistics templates]] | [[Category:Statistics templates]] | ||
| − | [[Category: | + | [[Category:Computer science sidebar templates]] |
| − | + | </noinclude> | |
Latest revision as of 02:48, 21 March 2021
| Part of a series on |
| Machine learning and data mining |
|---|
| 150px |
|
Machine-learning venues |
| Editors can experiment in this template's sandbox (create | mirror) and testcases (create) pages. Please add categories to the /doc subpage. Subpages of this template. |