1183 search results - page 5 / 237 » Learning Process Models with Missing Data |
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
The problem of missing data is ubiquitous in domains such as biomedical signal processing, network traffic analysis, bibliometrics, social network analysis, chemometrics, computer...
ICDM
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper, we study probabilistic modeling of heterogeneously attributed multi-dimensional arrays. The model can manage the heterogeneity by employing an individual exponential...
SDM
2010
SIAM
14 years 11 months ago
2010
SIAM
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
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KDD
2007
ACM
15 years 10 months ago
2007
ACM
In some applications such as filling in a customer information form on the web, some missing values may not be explicitly represented as such, but instead appear as potentially va...
AAAI
2011
13 years 9 months ago
2011
We consider the problem of modeling network interactions and identifying latent groups of network nodes. This problem is challenging due to the facts i) that the network nodes are...