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KDD
2010
ACM
14 years 2 months ago
2010
ACM
This paper examines important factors for link prediction in networks and provides a general, high-performance framework for the prediction task. Link prediction in sparse network...
ECTEL
2008
Springer
14 years 16 days ago
2008
Springer
The idea of representing knowledge in formal models gets more and more popular. Since these models are understandable and thus processable by machines, the retrieval of knowledge i...
COLT
2008
Springer
14 years 16 days ago
2008
Springer
We show how models for prediction with expert advice can be defined concisely and clearly using hidden Markov models (HMMs); standard HMM algorithms can then be used to efficientl...
ISAMI
2010
13 years 8 months ago
2010
Probabilistic models of languages are fundamental to understand and learn the profile of the subjacent code in order to estimate its entropy, enabling the verification and predicti...
CIKM
2011
Springer
12 years 10 months ago
2011
Springer
In most of the cases, scientists depend on previous literature which is relevant to their research fields for developing new ideas. However, it is not wise, nor possible, to trac...