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» The Utility of Knowledge Transfer for Noisy Data
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FLAIRS
2008
15 years 5 months ago
The Utility of Knowledge Transfer for Noisy Data
Steven Gutstein, Olac Fuentes, Eric Freudenthal
138
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AAAI
2008
15 years 5 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
15 years 4 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
155
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JMLR
2012
13 years 5 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....
124
Voted
BILDMED
2009
173views Algorithms» more  BILDMED 2009»
15 years 3 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