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KDD
2004
ACM
135views Data Mining» more  KDD 2004»
14 years 9 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
14 years 9 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 10 days ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss
MICCAI
2000
Springer
14 years 4 days ago
Intraoperative Segmentation and Nonrigid Registration for Image Guided Therapy
Our goal was to improve image guidance during minimally invasive image guided therapy by developing an intraoperative segmentation and nonrigid registration algorithm. The algorith...
Simon K. Warfield, Arya Nabavi, Torsten Butz, Kema...
WSDM
2012
ACM
207views Data Mining» more  WSDM 2012»
12 years 4 months ago
Sequence clustering and labeling for unsupervised query intent discovery
One popular form of semantic search observed in several modern search engines is to recognize query patterns that trigger instant answers or domain-specific search, producing sem...
Jackie Chi Kit Cheung, Xiao Li