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ICML
2006
IEEE
16 years 3 months ago
Active learning via transductive experimental design
This paper considers the problem of selecting the most informative experiments x to get measurements y for learning a regression model y = f(x). We propose a novel and simple conc...
Kai Yu, Jinbo Bi, Volker Tresp
NECO
2008
114views more  NECO 2008»
15 years 2 months ago
A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity
Current models for the learning of feature detectors work on two time scales: on a fast time scale the internal neurons' activations adapt to the current stimulus; on a slow ...
Cornelius Weber, Jochen Triesch
ICML
2008
IEEE
16 years 3 months ago
Detecting statistical interactions with additive groves of trees
Discovering additive structure is an important step towards understanding a complex multi-dimensional function because it allows the function to be expressed as the sum of lower-d...
Daria Sorokina, Rich Caruana, Mirek Riedewald, Dan...
CONTEXT
2007
Springer
15 years 9 months ago
Activity Systems and Context Working as Core Concepts in Modeling Socio-Technical Systems
Current modeling approaches in the field of learning and work resemble the notion of workflows and hence fall short in describing the situated and socially mediated nature of pract...
Heidrun Allert, Christoph Richter
PAMI
2006
193views more  PAMI 2006»
15 years 2 months ago
A System for Learning Statistical Motion Patterns
Analysis of motion patterns is an effective approach for anomaly detection and behavior prediction. Current approaches for the analysis of motion patterns depend on known scenes, w...
Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tien...