|
gptkbp:instanceOf
|
gptkb:model
|
|
gptkbp:alsoKnownAs
|
gptkb:AdaBoost
|
|
gptkbp:assignsWeightsTo
|
training samples
|
|
gptkbp:category
|
supervised learning
|
|
gptkbp:citation
|
high
|
|
gptkbp:combines
|
weak learners
|
|
gptkbp:commonWeakLearner
|
gptkb:tree
|
|
gptkbp:developedBy
|
gptkb:Robert_Schapire
gptkb:Yoav_Freund
|
|
gptkbp:focusesOn
|
misclassified samples
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Adaptive Boosting
|
|
gptkbp:implementedIn
|
gptkb:XGBoost
gptkb:scikit-learn
R
|
|
gptkbp:influenced
|
ensemble learning
boosting algorithms
|
|
gptkbp:introducedIn
|
1995
|
|
gptkbp:isEnsembleMethod
|
true
|
|
gptkbp:limitation
|
sensitive to outliers
sensitive to noisy data
|
|
gptkbp:notableVariant
|
gptkb:AdaBoost.M1
gptkb:AdaBoost.M2
gptkb:Gentle_AdaBoost
gptkb:Real_AdaBoost
gptkb:SAMME
gptkb:SAMME.R
|
|
gptkbp:output
|
weighted sum of weak learners
|
|
gptkbp:reduces
|
classification error
|
|
gptkbp:referencePaper
|
gptkb:A_Decision-Theoretic_Generalization_of_On-Line_Learning_and_an_Application_to_Boosting
|
|
gptkbp:referencePaperAuthors
|
gptkb:Robert_Schapire
gptkb:Yoav_Freund
|
|
gptkbp:referencePaperYear
|
1995
|
|
gptkbp:relatedTo
|
gptkb:Bagging
gptkb:Gradient_Boosting
|
|
gptkbp:usedFor
|
gptkb:dictionary
regression
|
|
gptkbp:usedIn
|
bioinformatics
fraud detection
image recognition
face detection
text classification
|
|
gptkbp:bfsParent
|
gptkb:AdaBoost
|
|
gptkbp:bfsLayer
|
6
|