Template:Machine learning: Difference between revisions
Content deletedContent added
mformat Tag:Reverted |
Uses CSS |
||
| (23 intermediate revisions by 15 users not shown) | |||
| Line 1: | Line 1: | ||
<templatestyles src= "Machine learning/styles.css" /> |
|||
{{Sidebar with collapsible lists |
{{Sidebar with collapsible lists |
||
| name = Machine learning |
| name = Machine learning |
||
| Line 4: | Line 5: | ||
| title = [[Machine learning]]<br/>and [[data mining]] |
| title = [[Machine learning]]<br/>and [[data mining]] |
||
| imagestyle = |
| imagestyle = |
||
| image = [[File:Kernel Machine.svg|frameless|Scatterplot featuring a linear support vector machine's decision boundary (dashed line)]] |
|||
| headingstyle = |
| headingstyle = |
||
| titlestyle = |
| titlestyle = |
||
| listtitlestyle = border-top:1px solid #aaa;text-align:center |
| listtitlestyle = border-top:1px solid #aaa;text-align:center; |
||
| listclass = hlist |
| listclass = hlist |
||
| expanded = {{{expanded|{{{1|none}}}}}} |
| expanded = {{{expanded|{{{1|none}}}}}} |
||
| list1title = Paradigms |
|||
| list1title = {{longitem | Learning paradigms<br/>{{nobold|{{small|('''[[Supervised learning|supervised]]'''{{•}}'''[[Unsupervised learning|unsupervised]]'''{{•}}'''<br/>[[Semi-supervised learning|semi-supervised]]'''{{•}}'''[[Rule-based machine learning|rule-based]]''' '''etc''')}}}} }} |
|||
| list1name = Paradigms |
| list1name = Paradigms |
||
| list1class = machine-learning-list-title |
|||
| list1 = [[Supervised learning]] {{•}} [[Unsupervised learning]] {{•}} [[Semi-supervised learning]] {{•}} [[Self-supervised learning]] {{•}} [[Reinforcement learning]] {{•}} [[Online machine learning|Online learning]] {{•}} [[Batch learning]] {{•}} [[Meta-learning (computer science)|Meta-learning]] {{•}} [[Rule-based machine learning|Rule-based learning]] {{•}} [[Quantum machine learning]] |
|||
| list1 = |
|||
* [[Supervised learning]] |
|||
* [[Unsupervised learning]] |
|||
* [[Online machine learning|Online learning]] |
|||
* [[Batch learning]] |
|||
* [[Meta-learning (computer science)|Meta-learning]] |
|||
* [[Semi-supervised learning]] |
|||
* [[Self-supervised learning]] |
|||
* [[Reinforcement learning]] |
|||
* [[Curriculum learning]] |
|||
* [[Rule-based machine learning|Rule-based learning]] |
|||
* [[Quantum machine learning]] |
|||
| list2title = Problems |
|||
| list2title = {{longitem | Problems<br/>{{nobold|{{small|('''[[Regression analysis|regression]]'''{{•}}'''[[structured prediction]]''' '''etc''')}}}} }} |
|||
| list2name = Problems |
| list2name = Problems |
||
| list2class = machine-learning-list-title |
|||
| list2 = [[Regression analysis|Regression]] {{•}} [[Cluster analysis|Clustering]] {{•}} [[Dimensionality reduction|dimension reduction]] {{•}} [[Anomaly detection]] {{•}} [[Statistical classification|Classification]] {{•}} [[Generative model]] {{•}} [[Density estimation]] {{•}} [[Data Cleaning]] {{•}} [[Automated machine learning|AutoML]] {{•}} [[Association rule learning|Association rules]] {{•}} [[Semantic analysis (machine learning)|Semantic analysis]] {{•}} [[Structured prediction]] {{•}} [[Feature engineering]] {{•}} [[Feature learning]] {{•}} [[Learning to rank]] {{•}} [[Grammar induction]] {{•}} [[Ontology learning]] {{•}} [[Multimodal learning]] |
|||
| list2 = |
|||
* [[Statistical classification|Classification]] |
|||
* [[Generative model|Generative modeling]] |
|||
* [[Regression analysis|Regression]] |
|||
* [[Cluster analysis|Clustering]] |
|||
* [[Dimensionality reduction]] |
|||
* [[Density estimation]] |
|||
* [[Anomaly detection]] |
|||
* [[Data cleaning]] |
|||
* [[Automated machine learning|AutoML]] |
|||
* [[Association rule learning|Association rules]] |
|||
* [[Semantic analysis (machine learning)|Semantic analysis]] |
|||
* [[Structured prediction]] |
|||
* [[Feature engineering]] |
|||
* [[Feature learning]] |
|||
* [[Learning to rank]] |
|||
* [[Grammar induction]] |
|||
* [[Ontology learning]] |
|||
* [[Multimodal learning]] |
|||
| list3title = {{longitem | Supervised <br/>{{nobold|{{small|('''[[Artificial neural network|neural networks]]'''{{•}}'''[[Decision tree learning|decision trees]]''' '''etc''')}}}} }} |
|||
| list3title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }} |
|||
| list3name = Supervised learning |
| list3name = Supervised learning |
||
| list3class = machine-learning-list-title |
|||
| list3 = [[Artificial neural network|Neural networks]] {{•}} [[Apprenticeship learning]] {{•}} [[Decision tree learning|Decision trees]] {{•}} [[Ensemble learning|Ensembles]] {{•}} [[Bootstrap aggregating|Bagging]] {{•}} [[Boosting (machine learning)|Boosting]] {{•}} [[Random forest]] {{•}} [[k-nearest neighbors algorithm|''k''-NN]] {{•}} [[Linear regression]] {{•}} [[Naive Bayes classifier|Naive Bayes]] {{•}} [[Logistic regression]] {{•}} [[Perceptron]] {{•}} [[Relevance vector machine|Relevance vector machine (RVM)]] {{•}} [[Support vector machine|Support vector machine (SVM)]] |
|||
| list3 = |
|||
* [[Apprenticeship learning]] |
|||
* [[Decision tree learning|Decision trees]] |
|||
* [[Ensemble learning|Ensembles]] |
|||
** [[Bootstrap aggregating|Bagging]] |
|||
** [[Boosting (machine learning)|Boosting]] |
|||
** [[Random forest]] |
|||
* [[k-nearest neighbors algorithm|''k''-NN]] |
|||
* [[Linear regression]] |
|||
* [[Naive Bayes classifier|Naive Bayes]] |
|||
* [[Artificial neural network]]s |
|||
* [[Logistic regression]] |
|||
* [[Perceptron]] |
|||
* [[Relevance vector machine|Relevance vector machine (RVM)]] |
|||
* [[Support vector machine|Support vector machine (SVM)]] |
|||
| list4title = {{longitem | Artificial<br/>neural networks<br/>{{nobold|{{small|('''[[deep learning]]'''{{•}}'''[[Transformer (machine learning model)|transformer]]''' '''etc''')}}}} }} |
|||
| list4name = Artificial neural network |
|||
| list4 = [[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]] {{•}} [[reservoir computing]] {{•}} [[Restricted Boltzmann machine]] {{•}} [[Generative adversarial network|GAN]]* [[Self-organizing map|SOM]] {{•}} [[Convolutional neural network]] {{•}} [[U-Net]] {{•}} [[Transformer (machine learning model)|Transformer]] {{•}} [[Vision transformer|Vision]] {{•}} [[Spiking neural network]] {{•}} [[Memtransistor]] {{•}} [[Electrochemical RAM]] (ECRAM) |
|||
| list4title = [[Cluster analysis|Clustering]] |
|||
| list5title = {{longitem | Clustering <br/>{{nobold|{{small|('''[[Hierarchical clustering|hierarchical]]'''{{•}}'''[[Fuzzy clustering|fuzzy]]''' '''etc''')}}}} }} |
|||
| |
|list4name= Clustering |
||
| list4class = machine-learning-list-title |
|||
| list5 = [[BIRCH]] {{•}} [[CURE algorithm|CURE]] {{•}} [[Hierarchical clustering|Hierarchical]] {{•}} [[k-means clustering|''k''-means]] {{•}} [[Fuzzy clustering|Fuzzy]] {{•}} [[Expectation–maximization algorithm|Expectation–maximization (EM)]] {{•}} [[DBSCAN]] {{•}} [[OPTICS algorithm|OPTICS]] {{•}} [[Mean shift]] |
|||
| list4 = |
|||
* [[BIRCH]] |
|||
* [[CURE algorithm|CURE]] |
|||
* [[Hierarchical clustering|Hierarchical]] |
|||
* [[k-means clustering|''k''-means]] |
|||
* [[Fuzzy clustering|Fuzzy]] |
|||
* [[Expectation–maximization algorithm|Expectation–maximization (EM)]] |
|||
* <br/>[[DBSCAN]] |
|||
* [[OPTICS algorithm|OPTICS]] |
|||
* [[Mean shift]] |
|||
| list5title = [[Dimensionality reduction]] |
|||
| list6title = {{longitem | Dim. reduction<br/>{{nobold|{{small|('''[[factor analysis]]'''{{•}}'''[[Principal component analysis|PCA]]''' '''etc''')}}}} }} |
|||
| |
|list5name= Dimensionality reduction |
||
| list5class = machine-learning-list-title |
|||
| list6 = [[Factor analysis]] {{•}} [[Canonical correlation|CCA]] {{•}} [[Independent component analysis|ICA]] {{•}} [[Linear discriminant analysis|LDA]] {{•}} [[Non-negative matrix factorization|NMF]] {{•}} [[Principal component analysis|PCA]] {{•}} [[Proper generalized decomposition|PGD]] {{•}} [[t-distributed stochastic neighbor embedding|t-SNE]] {{•}} [[Sparse dictionary learning|SDL]] |
|||
| list5 = |
|||
* [[Factor analysis]] |
|||
* [[Canonical correlation|CCA]] |
|||
* [[Independent component analysis|ICA]] |
|||
* [[Linear discriminant analysis|LDA]] |
|||
* [[Non-negative matrix factorization|NMF]] |
|||
* [[Principal component analysis|PCA]] |
|||
* [[Proper generalized decomposition|PGD]] |
|||
* [[t-distributed stochastic neighbor embedding|t-SNE]] |
|||
* [[Sparse dictionary learning|SDL]] |
|||
| list6title = [[Structured prediction]] |
|||
| list7title = {{longitem | Structured prediction<br/>{{nobold|{{small|('''[[Bayesian network|Bayes net]]'''{{•}}'''[[Hidden Markov model|Hidden Markov]]''' '''etc''')}}}} }} |
|||
| |
|list6name= Structured prediction |
||
| list6class = machine-learning-list-title |
|||
| list7 = [[Graphical model]]s {{•}} [[Bayesian network|Bayes net]] {{•}} [[Conditional random field]] {{•}} [[Hidden Markov model|Hidden Markov]] |
|||
| list6 = |
|||
* [[Graphical model]]s |
|||
** [[Bayesian network|Bayes net]] |
|||
** [[Conditional random field]] |
|||
** [[Hidden Markov model|Hidden Markov]] |
|||
| list7title = [[Anomaly detection]] |
|||
| list8title = {{longitem | Reinforcement learning<br/>{{nobold|{{small|('''[[Q-learning]]'''{{•}}'''[[Multi-agent reinforcement learning|multi-agent]]''' '''etc''')}}}} }} |
|||
| list7name = Anomaly detection |
|||
| list8name = Reinforcement learning |
|||
| list7class = machine-learning-list-title |
|||
| list8 = [[Q-learning]] {{•}} [[State–action–reward–state–action|SARSA]] {{•}} [[Temporal difference learning|Temporal difference (TD)]] {{•}} [[Multi-agent reinforcement learning|Multi-agent]] {{•}} [[Self-play (reinforcement learning technique)|Self-play]] |
|||
| list7 = |
|||
* [[Random sample consensus|RANSAC]] |
|||
* [[K-nearest neighbors algorithm|''k''-NN]] |
|||
* [[Local outlier factor]] |
|||
* [[Isolation forest]] |
|||
| list8title = [[Artificial neural network]] |
|||
| list9title = {{longitem | Learning with humans<br/>{{nobold|{{small|('''[[crowdsourcing]]'''{{•}}'''[[human-in-the-loop]]''' '''etc''')}}}} }} |
|||
| list8name = Artificial neural network |
|||
| list9name = Learning with humans |
|||
| list8class = machine-learning-list-title |
|||
| list9 = [[Active learning (machine learning)|Active learning]] {{•}} [[Crowdsourcing]] {{•}} [[Human-in-the-loop]] |
|||
| list8 = |
|||
* [[Autoencoder]] |
|||
* [[Cognitive computing]] |
|||
* [[Deep learning]] |
|||
* [[DeepDream]] |
|||
* [[Feedforward neural network]] |
|||
* [[Recurrent neural network]] |
|||
** [[Long short-term memory|LSTM]] |
|||
** [[Gated recurrent unit|GRU]] |
|||
** [[Echo state network|ESN]] |
|||
** [[reservoir computing]] |
|||
* [[Restricted Boltzmann machine]] |
|||
* [[Generative adversarial network|GAN]] |
|||
* [[Diffusion model]] |
|||
* [[Self-organizing map|SOM]] |
|||
* [[Convolutional neural network]] |
|||
** [[U-Net]] |
|||
* [[Transformer (machine learning model)|Transformer]] |
|||
** [[Vision transformer|Vision]] |
|||
* [[Mamba (deep learning architecture)|Mamba]] |
|||
* [[Spiking neural network]] |
|||
* [[Memtransistor]] |
|||
* [[Electrochemical RAM]] (ECRAM) |
|||
| list9title = [[Reinforcement learning]] |
|||
| list10title = {{longitem | Mathematical foundations<br/>{{nobold|{{small|('''[[kernel machines]]'''{{•}}'''[[Probably approximately correct learning|PAC learning]]''' '''etc''')}}}} }} |
|||
| list9name = Reinforcement learning |
|||
| list10name = Mathematical foundations |
|||
| list9class = machine-learning-list-title |
|||
| list10 = [[Kernel machines]] {{•}} [[Bias–variance tradeoff]] {{•}} [[Computational learning theory]] {{•}} [[Empirical risk minimization]] {{•}} [[Occam learning]] {{•}} [[Probably approximately correct learning|PAC learning]] {{•}} [[Statistical learning theory|Statistical learning]] {{•}} [[Vapnik–Chervonenkis theory|VC theory]] |
|||
| list9 = |
|||
* [[Q-learning]] |
|||
* [[State–action–reward–state–action|SARSA]] |
|||
* [[Temporal difference learning|Temporal difference (TD)]] |
|||
* [[Multi-agent reinforcement learning|Multi-agent]] |
|||
** [[Self-play (reinforcement learning technique)|Self-play]] |
|||
| list10title = Learning with humans |
|||
| list10name = Learning with humans |
|||
| list10class = machine-learning-list-title |
|||
| list10 = |
|||
* [[Active learning (machine learning)|Active learning]] |
|||
* [[Crowdsourcing]] |
|||
* [[Human-in-the-loop]] |
|||
* [[Reinforcement learning from human feedback|RLHF]] |
|||
| list11title = Model diagnostics |
| list11title = Model diagnostics |
||
| list11name = Model diagnostics |
| list11name = Model diagnostics |
||
| |
|list11class= machine-learning-list-title |
||
| list11 = |
|||
* [[Coefficient of determination]] |
|||
* [[Confusion matrix]] |
|||
* [[Learning curve (machine learning)|Learning curve]] |
|||
* [[Receiver operating characteristic|ROC curve]] |
|||
| list12title = Mathematical foundations |
|||
| list12name = Mathematical foundations |
|||
| list12class = machine-learning-list-title |
|||
| list12 = |
|||
* [[Kernel machines]] |
|||
* [[Bias–variance tradeoff]] |
|||
* [[Computational learning theory]] |
|||
* [[Empirical risk minimization]] |
|||
* [[Occam learning]] |
|||
* [[Probably approximately correct learning|PAC learning]] |
|||
* [[Statistical learning theory|Statistical learning]] |
|||
* [[Vapnik–Chervonenkis theory|VC theory]] |
|||
| |
|list13title= Machine-learning venues |
||
| |
|list13name= Machine-learning venues |
||
| list13class = machine-learning-list-title |
|||
| list12 = [[Conference on Neural Information Processing Systems|NeurIPS]] {{•}} [[International Conference on Machine Learning|ICML]] {{•}} [[International Conference on Learning Representations|ICLR]] {{•}} [[Machine Learning (journal)|ML]] {{•}} [[Journal of Machine Learning Research|JMLR]] |
|||
| list13 = |
|||
* [[ECML PKDD]] |
|||
* [[Conference on Neural Information Processing Systems|NeurIPS]] |
|||
* [[International Conference on Machine Learning|ICML]] |
|||
* [[International Conference on Learning Representations|ICLR]] |
|||
* [[International Joint Conference on Artificial Intelligence|IJCAI]] |
|||
* [[Machine Learning (journal)|ML]] |
|||
* [[Journal of Machine Learning Research|JMLR]] |
|||
| |
|list14title= Related articles |
||
| |
|list14name= Related articles |
||
| list14class = machine-learning-list-title |
|||
| list13 = [[Glossary of artificial intelligence]] {{•}} [[List of datasets for machine-learning research]] {{•}} [[Outline of machine learning]] |
|||
| list14 = |
|||
* [[Glossary of artificial intelligence]] |
|||
* [[List of datasets for machine-learning research]] |
|||
** [[List of datasets in computer vision and image processing]] |
|||
* [[Outline of machine learning]] |
|||
}}<noinclude> |
}}<noinclude> |
||
{{Uses TemplateStyles|Template:Machine learning/styles.css}} |
|||
[[Category:Statistics sidebar templates]] |
[[Category:Statistics sidebar templates]] |
||
[[Category:Computer science sidebar |
[[Category:Computer science sidebartemplates]] |
||
</noinclude> |
</noinclude> |
||
Latest revision as of 23:45, 21 May 2024
| Part of a series on |
| Machine learning anddata mining |
|---|
 | This template usesTemplateStyles: |