Difference between revisions of "Template:Machine learning bar"

From blackwiki
Jump to navigation Jump to search
(Replaced content with 'Id forever want to be update on new articles on this internet site, bookmarked ! . egdegcedgbdaacad')
Line 1: Line 1:
{{Sidebar with collapsible lists
+
Id  forever  want to be update on new  articles  on this  internet site, bookmarked ! . egdegcedgbdaacad
| name = Machine learning bar
 
| title = [[Machine learning]] and<br/>[[data mining]]
 
| imagestyle = padding:0.25em 0.25em 0.75em;
 
| image = [[File:Kernel Machine.svg|frameless]]
 
| headingstyle = border-top:1px solid #aaa;
 
 
 
| list1title = Problems
 
| list1 = <div class="hlist">
 
* [[Statistical classification|Classification]]
 
* [[Cluster analysis|Clustering]]
 
* [[Regression analysis|Regression]]
 
* [[Anomaly detection]]
 
* [[Association rule learning|Association rules]]
 
* [[Reinforcement learning]]
 
* [[Structured prediction]]
 
* [[Feature engineering]]
 
* [[Feature learning]]
 
* [[Online machine learning|Online learning]]
 
* [[Semi-supervised learning]]
 
* [[Unsupervised learning]]
 
* [[Learning to rank]]
 
* [[Grammar induction]]
 
</div>
 
 
 
| list2title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }}
 
| list2 = <div class="hlist">
 
* [[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|Neural network]]s
 
* [[Logistic regression]]
 
* [[Perceptron]]
 
* [[Relevance vector machine|Relevance vector machine (RVM)]]
 
* [[Support vector machine|Support vector machine (SVM)]]
 
</div>
 
 
 
| list3title = [[Cluster analysis|Clustering]]
 
| list3 = <div class="hlist">
 
* [[BIRCH]]
 
* [[Hierarchical clustering|Hierarchical]]
 
* [[k-means clustering|''k''-means]]
 
* [[Expectation-maximization algorithm|Expectation-maximization (EM)]]
 
* <br/>[[DBSCAN]]
 
* [[OPTICS algorithm|OPTICS]]
 
* [[Mean-shift]]
 
</div>
 
 
 
| list4title = [[Dimensionality reduction]]
 
| list4 = <div class="hlist">
 
* [[Factor analysis]]
 
* [[Canonical correlation analysis|CCA]]
 
* [[Independent component analysis|ICA]]
 
* [[Linear discriminant analysis|LDA]]
 
* [[Non-negative matrix factorization|NMF]]
 
* [[Principal component analysis|PCA]]
 
* [[t-distributed stochastic neighbor embedding|t-SNE]]
 
</div>
 
 
 
| list5title = [[Structured prediction]]
 
| list5 = <div class="hlist">
 
* [[Graphical model]]s ([[Bayesian network|Bayes net]], [[Conditional random field|CRF]], [[Hidden Markov model|HMM]])
 
</div>
 
 
 
| list6title = [[Anomaly detection]]
 
| list6 = <div class="hlist">
 
* [[k-nearest neighbors classification|''k''-NN]]
 
* [[Local outlier factor]]
 
</div>
 
 
 
| list7title = [[artificial neural network|Neural nets]]
 
| list7 = <div class="hlist">
 
* [[Autoencoder]]
 
* [[Deep learning]]
 
* [[Multilayer perceptron]]
 
* [[Recurrent neural network|RNN]]
 
* [[Restricted Boltzmann machine]]
 
* [[Self-organizing map|SOM]]
 
* [[Convolutional neural network]]
 
</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 dilemma]]
 
* [[Computational learning theory]]
 
* [[Empirical risk minimization]]
 
* [[Occam learning]]
 
* [[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|NIPS]]
 
* [[International Conference on Machine Learning|ICML]]
 
* [[International Journal of Machine Learning and Cybernetics|IJMLC]]
 
* [[Machine Learning (journal)|ML]]
 
* [[Journal of Machine Learning Research|JMLR]]
 
* [http://arxiv.org/list/cs.LG/recent ArXiv:cs.LG]
 
</div>
 
 
 
| belowclass = plainlist
 
| belowstyle = border-top:1px solid #aaa;border-bottom:1px solid #aaa;
 
| below =
 
* {{portal-inline|size=tiny|Machine learning}}
 
 
 
}}<noinclude>
 
 
 
{{doc
 
|content=
 
[[Category:Computing templates]]
 
[[Category:Statistics templates]]
 
[[Category:Technology and applied science sidebar templates]]
 
}}</noinclude>
 

Revision as of 21:59, 27 November 2016

Id forever want to be update on new articles on this internet site, bookmarked ! . egdegcedgbdaacad