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ECML
2003
Springer
15 years 3 months ago
Logistic Model Trees
Abstract. Tree induction methods and linear models are popular techniques for supervised learning tasks, both for the prediction of nominal classes and continuous numeric values. F...
Niels Landwehr, Mark Hall, Eibe Frank
CGF
2008
143views more  CGF 2008»
14 years 10 months ago
Sketch-Based Procedural Surface Modeling and Compositing Using Surface Trees
We present a system for creating and manipulating layered procedural surface editing operations, which is motivated by the limited support for iterative design in free-form modeli...
Ryan Schmidt, Karan Singh
PKDD
2005
Springer
142views Data Mining» more  PKDD 2005»
15 years 3 months ago
Speeding Up Logistic Model Tree Induction
Logistic Model Trees have been shown to be very accurate and compact classifiers [8]. Their greatest disadvantage is the computational complexity of inducing the logistic regressi...
Marc Sumner, Eibe Frank, Mark A. Hall
DAC
2006
ACM
15 years 10 months ago
Elmore model for energy estimation in RC trees
This paper presents analysis methods for energy estimation in RC trees driven by time-varying voltage sources, e.g., buffers, timevarying power supplies, and resonant clock genera...
Quming Zhou, Kartik Mohanram
CVPR
2008
IEEE
15 years 12 months ago
Learning stick-figure models using nonparametric Bayesian priors over trees
We present a fully probabilistic stick-figure model that uses a nonparametric Bayesian distribution over trees for its structure prior. Sticks are represented by nodes in a tree i...
Edward Meeds, David A. Ross, Richard S. Zemel, Sam...