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140
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ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 11 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
141
Voted
ISM
2008
IEEE
83views Multimedia» more  ISM 2008»
15 years 11 months ago
Fast and Flexible Tree Rendering with Enhanced Visibility Estimation
We present a set of techniques to simplify tree models for faster rendering while retaining their visual resemblance to the original model. This goal is achieved by setting a budg...
Jessy Lee, C. C. Jay Kuo
DIS
2008
Springer
15 years 5 months ago
Empirical Asymmetric Selective Transfer in Multi-objective Decision Trees
We consider learning tasks where multiple target variables need to be predicted. Two approaches have been used in this setting: (a) build a separate single-target model for each ta...
Beau Piccart, Jan Struyf, Hendrik Blockeel
134
Voted
IJPRAI
2002
93views more  IJPRAI 2002»
15 years 4 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
NIPS
2008
15 years 6 months ago
Syntactic Topic Models
We develop the syntactic topic model (STM), a nonparametric Bayesian model of parsed documents. The STM generates words that are both thematically and syntactically constrained, w...
Jordan L. Boyd-Graber, David M. Blei