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96
Voted
NIPS
2007
15 years 2 months ago
2007
The expectation maximization (EM) algorithm is a widely used maximum likelihood estimation procedure for statistical models when the values of some of the variables in the model a...
104
Voted
NIPS
2007
15 years 2 months ago
2007
In transfer learning we aim to solve new problems using fewer examples using information gained from solving related problems. Transfer learning has been successful in practice, a...
121
Voted
NIPS
2007
15 years 2 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
111
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OWLED
2007
15 years 2 months ago
2007
The research community has noted the need to retrieve the instance level of an ontology from bulk data stored in external data sources (e.g., a relational database), in order to de...
87
Voted
PDCN
2007
15 years 2 months ago
2007
Communication environments are becoming increasingly more complex due to the diversity of available network technologies in terms of spatial coverage and design characteristics, a...