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COLT
2008
Springer
13 years 10 months ago
The True Sample Complexity of Active Learning
We describe and explore a new perspective on the sample complexity of active learning. In many situations where it was generally believed that active learning does not help, we sh...
Maria-Florina Balcan, Steve Hanneke, Jennifer Wort...
CAIP
2009
Springer
114views Image Analysis» more  CAIP 2009»
13 years 12 months ago
Decision Trees Using the Minimum Entropy-of-Error Principle
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Joaquim Marques de Sá, João Gama, Ra...
ICCV
2011
IEEE
12 years 8 months ago
Decision Tree Fields
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
SCS
2003
13 years 10 months ago
A New Component Concept for Fault Trees
The decomposition of complex systems into manageable parts is an essential principle when dealing with complex technical systems. However, many safety and reliability modelling te...
Bernhard Kaiser, Peter Liggesmeyer, Oliver Mä...
VLDB
1999
ACM
151views Database» more  VLDB 1999»
14 years 25 days ago
Cache Conscious Indexing for Decision-Support in Main Memory
As random access memory gets cheaper, it becomes increasingly affordable to build computers with large main memories. We consider decision support workloads within the context of...
Jun Rao, Kenneth A. Ross