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Statements

Subject Item
dbr:Elastic_net_regularization
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Elastic net regularization エラスティックネット
rdfs:comment
In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods. エラスティックネット(英語: Elastic net)は、ラッソ回帰とリッジ回帰の L1正則化と L2正則化をパラメータを用いてバランスよく線形結合で組み合わせた正則化回帰手法である。統計学での線形回帰やロジスティック回帰モデルの最適化に用いられる。
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dbr:Ridge_regression dbc:Machine_learning_algorithms dbr:Logistic_regression dbr:Support_vector_machine dbr:Taxicab_geometry dbr:SAS_(software) dbr:Regularization_(mathematics) dbr:GPU dbr:R_(programming_language) dbr:Linear_regression dbr:JMP_(statistical_software) dbr:Matlab dbr:Linear_combination dbr:Lasso_(statistics) dbc:Regression_analysis dbr:Statistics dbr:MATLAB dbr:Apache_Spark dbr:Tikhonov_regularization dbr:Norm_(mathematics) dbr:Scikit-learn dbc:Logistic_regression
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エラスティックネット(英語: Elastic net)は、ラッソ回帰とリッジ回帰の L1正則化と L2正則化をパラメータを用いてバランスよく線形結合で組み合わせた正則化回帰手法である。統計学での線形回帰やロジスティック回帰モデルの最適化に用いられる。 In statistics and, in particular, in the fitting of linear or logistic regression models, the elastic net is a regularized regression method that linearly combines the L1 and L2 penalties of the lasso and ridge methods.
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