1183 search results - page 7 / 237 » Learning Process Models with Missing Data |
102
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HIS
2003
14 years 11 months ago
2003
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
In real-world machine learning problems, it is very common that part of the input feature vector is incomplete: either not available, missing, or corrupted. In this paper, we pres...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
117
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SIGIR
2011
ACM
14 years 10 days ago
2011
ACM
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...