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» Using Random Forests in the Structured Language Model
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142
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TDP
2010
124views more  TDP 2010»
14 years 11 months ago
Random Forests for Generating Partially Synthetic, Categorical Data
Abstract. Several national statistical agencies are now releasing partially synthetic, public use microdata. These comprise the units in the original database with sensitive or ide...
Gregory Caiola, Jerome P. Reiter
106
Voted
ICIP
2009
IEEE
16 years 2 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
117
Voted
JCDL
2009
ACM
179views Education» more  JCDL 2009»
15 years 7 months ago
Disambiguating authors in academic publications using random forests
Users of digital libraries usually want to know the exact author or authors of an article. But different authors may share the same names, either as full names or as initials and...
Pucktada Treeratpituk, C. Lee Giles
COLT
2010
Springer
14 years 11 months ago
Forest Density Estimation
We study graph estimation and density estimation in high dimensions, using a family of density estimators based on forest structured undirected graphical models. For density estim...
Anupam Gupta, John D. Lafferty, Han Liu, Larry A. ...
152
Voted
ESANN
2006
15 years 2 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...