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NECO
2000
86views more  NECO 2000»
13 years 8 months ago
A Bayesian Committee Machine
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Volker Tresp
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
14 years 9 months ago
Knowledge transfer via multiple model local structure mapping
The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Jing Gao, Wei Fan, Jing Jiang, Jiawei Han
BMCBI
2008
129views more  BMCBI 2008»
13 years 9 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
DAGM
1995
Springer
14 years 15 days ago
High-Precision Localization of Circular Landmarks in Aerial Images
The reliability and accuracy of point-based image registration strongly depends on the selection of suitable landmarks and on the precision of localizing theses landmarks in images...
Christian Drewniok, Karl Rohr
ACL
2001
13 years 10 months ago
What is the Minimal Set of Fragments that Achieves Maximal Parse Accuracy?
We aim at finding the minimal set of fragments which achieves maximal parse accuracy in Data Oriented Parsing. Experiments with the Penn Wall Street Journal treebank show that cou...
Rens Bod