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» The Utility of Knowledge Transfer for Noisy Data
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FLAIRS
2008
13 years 6 months ago
The Utility of Knowledge Transfer for Noisy Data
Steven Gutstein, Olac Fuentes, Eric Freudenthal
AAAI
2008
13 years 6 months ago
Text Categorization with Knowledge Transfer from Heterogeneous Data Sources
Multi-category classification of short dialogues is a common task performed by humans. When assigning a question to an expert, a customer service operator tries to classify the cu...
Rakesh Gupta, Lev-Arie Ratinov
AUSAI
2008
Springer
13 years 6 months ago
Cross-Domain Knowledge Transfer Using Semi-supervised Classification
Traditional text classification algorithms are based on a basic assumption: the training and test data should hold the same distribution. However, this identical distribution assum...
Yi Zhen, Chunping Li
JMLR
2012
11 years 6 months ago
Hierarchical Latent Dictionaries for Models of Brain Activation
In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fu...
Alona Fyshe, Emily B. Fox, David B. Dunson, Tom M....
BILDMED
2009
173views Algorithms» more  BILDMED 2009»
13 years 5 months ago
Interactive Boundary Detection for Automatic Definition of 2D Opacity Transfer Function
In computer assisted diagnostics nowadays, high-value 3-D visualization intake a supporting role to the traditional 2-D slice wise visualization. 3-D visualization may create intui...
Martin Rauberger, Heinrich M. Overhoff