4591 search results - page 674 / 919 » Learning from Dyadic Data |
129
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ICANN
2001
Springer
15 years 9 months ago
2001
Springer
In manipulating data such as in supervised learning, we often extract new features from original features for the purpose of reducing the dimensions of feature space and achieving ...
148
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INFOCOM
1997
IEEE
15 years 8 months ago
1997
IEEE
The increasing role of communication networks in today’s society results in a demand for higher levels of network availability and reliability. At the same time, fault managemen...
142
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COMPSYSTECH
2007
15 years 8 months ago
2007
: The paper proposes a different approach to data modeling. Analogous to the rejection method, where the misclassifications are removed and manually evaluated, we focus here on dif...
120
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NIPS
2007
15 years 5 months ago
2007
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
124
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ECIS
2003
15 years 5 months ago
2003
In Information Systems research there are a growing number of studies that must necessarily draw upon the contexts, experiences and narratives of practitioners. This calls for res...