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» Informative data: How to get just sufficiently rich
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CDC
2008
IEEE
13 years 6 months ago
Informative data: How to get just sufficiently rich?
Prediction error identification requires that data be informative with respect to the chosen model structure. Whereas sufficient conditions for informative experiments have been av...
Michel Gevers, Alexandre S. Bazanella, Ljubisa Mis...
CHI
2009
ACM
13 years 8 months ago
I just don't know why it's gone: maintaining informal information use in inpatient care
We conducted a field-based study examining informal nursing information. We examined the use of this information before and after the adoption of a CPOE (Computerized Provider Ord...
Xiaomu Zhou, Mark S. Ackerman, Kai Zheng
CONTEXT
2007
Springer
13 years 11 months ago
User Profiling with Hierarchical Context: An e-Retailer Case Study
In e-commerce applications, no systematic research has been provided to evaluate if the use of a detailed and rich contextual representation improves the user modeling predictive p...
Cosimo Palmisano, Alexander Tuzhilin, Michele Gorg...
ICDM
2006
IEEE
161views Data Mining» more  ICDM 2006»
13 years 10 months ago
Personalization in Context: Does Context Matter When Building Personalized Customer Models?
The idea that context is important when predicting customer behavior has been maintained by scholars in marketing and data mining. However, no systematic study measuring how much ...
Michele Gorgoglione, Cosimo Palmisano, Alexander T...
ICVGIP
2008
13 years 6 months ago
How Much Zoom is the Right Zoom from the Perspective of Super-Resolution?
Constructing a high-resolution (HR) image from lowresolution (LR) image(s) has been a very active research topic recently with focus shifting from multi-frames to learning based s...
Himanshu Arora, Anoop M. Namboodiri