Difference between revisions of "Template:Machine learning bar"
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imported>Qwertyus (collapsible lists) |
imported>Qwertyus (restore hlist <div>s to prevent list item text from being centered) |
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| Line 7: | Line 7: | ||
| list1title = Problems | | list1title = Problems | ||
| − | | list1 = | + | | list1 = <div class="hlist"> |
* [[Statistical classification|Classification]] | * [[Statistical classification|Classification]] | ||
* [[Cluster analysis|Clustering]] | * [[Cluster analysis|Clustering]] | ||
| Line 22: | Line 22: | ||
* [[Learning to rank]] | * [[Learning to rank]] | ||
* [[Grammar induction]] | * [[Grammar induction]] | ||
| + | </div> | ||
| list2title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }} | | list2title = {{longitem |[[Supervised learning]]<br/>{{nobold|{{small|('''[[Statistical classification|classification]]'''{{•}}'''[[Regression analysis|regression]]''')}}}} }} | ||
| − | | list2 = | + | | list2 = <div class="hlist"> |
* [[Decision tree learning|Decision trees]] | * [[Decision tree learning|Decision trees]] | ||
* [[Ensemble learning|Ensembles]] ([[Bootstrap aggregating|Bagging]], [[Boosting (machine learning)|Boosting]], [[Random forest]]) | * [[Ensemble learning|Ensembles]] ([[Bootstrap aggregating|Bagging]], [[Boosting (machine learning)|Boosting]], [[Random forest]]) | ||
| Line 35: | Line 36: | ||
* [[Relevance vector machine|Relevance vector machine (RVM)]] | * [[Relevance vector machine|Relevance vector machine (RVM)]] | ||
* [[Support vector machine|Support vector machine (SVM)]] | * [[Support vector machine|Support vector machine (SVM)]] | ||
| + | </div> | ||
| list3title = [[Cluster analysis|Clustering]] | | list3title = [[Cluster analysis|Clustering]] | ||
| − | | list3 = | + | | list3 = <div class="hlist"> |
* [[BIRCH]] | * [[BIRCH]] | ||
* [[Hierarchical clustering|Hierarchical]] | * [[Hierarchical clustering|Hierarchical]] | ||
| Line 45: | Line 47: | ||
* [[OPTICS algorithm|OPTICS]] | * [[OPTICS algorithm|OPTICS]] | ||
* [[Mean-shift]] | * [[Mean-shift]] | ||
| + | </div> | ||
| list4title = [[Dimensionality reduction]] | | list4title = [[Dimensionality reduction]] | ||
| − | | list4 = | + | | list4 = <div class="hlist"> |
* [[Factor analysis]] | * [[Factor analysis]] | ||
* [[Canonical correlation analysis|CCA]] | * [[Canonical correlation analysis|CCA]] | ||
| Line 55: | Line 58: | ||
* [[Principal component analysis|PCA]] | * [[Principal component analysis|PCA]] | ||
* [[t-distributed stochastic neighbor embedding|t-SNE]] | * [[t-distributed stochastic neighbor embedding|t-SNE]] | ||
| + | </div> | ||
| list5title = [[Structured prediction]] | | list5title = [[Structured prediction]] | ||
| − | | list5 | + | | list5 = <div class="hlist"> |
* [[Graphical model]]s ([[Bayesian network|Bayes net]], [[Conditional random field|CRF]], [[Hidden Markov model|HMM]]) | * [[Graphical model]]s ([[Bayesian network|Bayes net]], [[Conditional random field|CRF]], [[Hidden Markov model|HMM]]) | ||
| + | </div> | ||
| list6title = [[Anomaly detection]] | | list6title = [[Anomaly detection]] | ||
| − | | list6 = | + | | list6 = <div class="hlist"> |
* [[k-nearest neighbors classification|''k''-NN]] | * [[k-nearest neighbors classification|''k''-NN]] | ||
* [[Local outlier factor]] | * [[Local outlier factor]] | ||
| + | </div> | ||
| list7title = [[artificial neural network|Neural nets]] | | list7title = [[artificial neural network|Neural nets]] | ||
| − | | list7 = | + | | list7 = <div class="hlist"> |
* [[Autoencoder]] | * [[Autoencoder]] | ||
* [[Deep learning]] | * [[Deep learning]] | ||
| Line 77: | Line 83: | ||
| list8title = Theory | | list8title = Theory | ||
| − | | list8 = | + | | list8 = <div class="hlist"> |
* [[Bias-variance dilemma]] | * [[Bias-variance dilemma]] | ||
* [[Computational learning theory]] | * [[Computational learning theory]] | ||
| Line 85: | Line 91: | ||
* [[Statistical learning theory|Statistical learning]] | * [[Statistical learning theory|Statistical learning]] | ||
* [[Vapnik–Chervonenkis theory|VC theory]] | * [[Vapnik–Chervonenkis theory|VC theory]] | ||
| + | </div> | ||
| list9title = Machine learning venues | | list9title = Machine learning venues | ||
| − | | list9 = | + | | list9 = <div class="hlist"> |
* [[Conference on Neural Information Processing Systems|NIPS]] | * [[Conference on Neural Information Processing Systems|NIPS]] | ||
* [[International Conference on Machine Learning|ICML]] | * [[International Conference on Machine Learning|ICML]] | ||
* [[Journal of Machine Learning Research|JMLR]] | * [[Journal of Machine Learning Research|JMLR]] | ||
* [http://arxiv.org/list/cs.LG/recent ArXiv:cs.LG] | * [http://arxiv.org/list/cs.LG/recent ArXiv:cs.LG] | ||
| + | </div> | ||
| list10title = Data mining venues | | list10title = Data mining venues | ||
| − | | list10 = | + | | list10 = <div class="hlist"> |
* [[ACM SIGKDD Conference on Knowledge Discovery and Data Mining|KDD]] | * [[ACM SIGKDD Conference on Knowledge Discovery and Data Mining|KDD]] | ||
* [[International Conference on Data Mining|ICDM]] | * [[International Conference on Data Mining|ICDM]] | ||
Revision as of 09:10, 26 February 2016
| Machine learning and data mining |
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| File:Kernel Machine.png |
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Machine learning venues |
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