Questions Tagged With ensemble - MetaOptimize Q+A

Questions Tagged With ensemble

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Techniques for dealing with Imbalanced datasets

Apr 12 at 10:41 Broccoli15 (asked by Issam Laradji1 )

binary auc imbalanced-data random-forests feature-extraction feature-selection ensemble

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1

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285

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Combining SVMs

Mar 08 at 14:28 emre1

svm probabilistic ensemble classification

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1

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408

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Agregating results of a classifier (model) trained online with different parameter values

Dec 19 '12 at 18:24 digdug190 (asked by shn402 )

online-learning aggregation machine-learning classification ensemble

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1

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445

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what exactly is the benefit of having multiple trees in a kdtree forest

Aug 05 '12 at 16:05 Joseph Turian ♦♦5430 (asked by mugetsu233 )

kd-trees ensemble

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2

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1k

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Theory behind groups guessing the correct number of jellybeans in a jar or the correct weight of a cow

May 06 '12 at 04:52 Gavin Brown136 (asked by VassMan209 )

bagging estimation ensemble theory

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1

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899

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How are classifications merged in an ensemble classifier?

Jan 22 '12 at 16:11 Cerin447

random-forests ensemble machine-learning naivebayes

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639

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random forest + logistic regression

Dec 08 '11 at 10:00 Gael Varoquaux851 (asked by alekk15 )

logistic-regression forest ensemble

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2k

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How ensemble methods, bagging, random forests, boosting, consensus clustering, etc all fit together?

Sep 26 '11 at 13:25 Daniel Mahler1121 (asked by VassMan209 )

bagging clustering random-forests ensemble classifier

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What is the benefit of consensus clustering

Sep 20 '11 at 13:06 Daniel Mahler1121 (asked by VassMan209 )

clustering bagging ensemble kmeans sampling

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4

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1k

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Ensemble Learning Methods

Aug 25 '11 at 20:34 Art Munson631 (asked by Muhammad Kashif Khan44 )

and svm ensemble learning

13questions tagged ensemble

23answers

Questions are sorted by the time of last update.

Tags

machine-learning × 270
classification × 168
clustering × 115
svm × 101
sampling × 49
learning × 48
feature-selection × 44
logistic-regression × 44
online-learning × 32
feature-extraction × 26
classifier × 20
naivebayes × 19
random-forests × 15
estimation × 14
ensemble × 13
theory × 11
auc × 9
probabilistic × 9
bagging × 8
kmeans × 7
binary × 6
forest × 5
and × 4
imbalanced-data × 4
kd-trees × 4
aggregation × 2

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