59 lines
1.9 KiB
BibTeX
59 lines
1.9 KiB
BibTeX
% @manual{scikit_classifier_comparison,
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% author = "scikit-learn",
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% title = "Classifier Comparison",
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% url = "https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html",
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% urldate = "2024-10-05"
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% }
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@manual{scikit_randomforestclassifier,
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author = "scikit-learn Documentation",
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title = "\texttt{RandomForestClassifier} API Reference",
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url = "https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html",
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urldate = "2024-10-06"
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}
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@manual{scikit_svc,
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author = "scikit-learn Documentation",
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title = "\texttt{SVC} API Reference",
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url = "https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC",
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urldate = "2024-10-06"
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}
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@manual{scikit_svm,
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author = "scikit-learn Documentation",
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title = "Support Vector Machines",
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url = "https://scikit-learn.org/stable/modules/svm.html",
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urldate = "2024-10-06"
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}
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@online{ibm_randomforest,
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author = "IBM",
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title = "What is random forest?",
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url = "https://www.ibm.com/topics/random-forest",
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urldate = "2024-10-06"
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}
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@book{understandingML,
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title = "Understanding Machine Learning: From Theory to Algorithms",
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author = "Shalev-Shwartz, Shai and Ben-David, Shai",
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year = "2014",
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publisher = "Cambridge University Press",
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% url = "https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html"
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}
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@online{scikit_ensembles,
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author = "scikit-learn Documentation",
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title = "Ensembles: Gradient boosting, random forests, bagging, voting, stacking",
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url = "https://scikit-learn.org/stable/modules/ensemble.html",
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urldate = "2024-10-06"
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}
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@article{breiman,
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author = "Breiman, Leo",
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title = "Random Forests",
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journal = "Machine Learning",
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year = "2001",
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volume = "45",
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page = "5-32",
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}
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