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http://dbpedia.org/resource/LogitBoost
http://dbpedia.org/ontology/abstract In machine learning and computational learIn machine learning and computational learning theory, LogitBoost is a boosting algorithm formulated by Jerome Friedman, Trevor Hastie, and Robert Tibshirani. The original paper casts the AdaBoost algorithm into a statistical framework. Specifically, if one considers AdaBoost as a generalized additive model and then applies the cost function of logistic regression, one can derive the LogitBoost algorithm., one can derive the LogitBoost algorithm.
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rdfs:comment In machine learning and computational learIn machine learning and computational learning theory, LogitBoost is a boosting algorithm formulated by Jerome Friedman, Trevor Hastie, and Robert Tibshirani. The original paper casts the AdaBoost algorithm into a statistical framework. Specifically, if one considers AdaBoost as a generalized additive model and then applies the cost function of logistic regression, one can derive the LogitBoost algorithm., one can derive the LogitBoost algorithm.
rdfs:label LogitBoost
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