17 search results - page 1 / 4 » Scalable Tensor Factorizations with Missing Data |
SDM
2010
SIAM
13 years 6 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...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The problem of incomplete data--i.e., data with missing or unknown values--in multi-way arrays is ubiquitous in biomedical signal processing, network traffic analysis, bibliometri...
ICDM
2010
IEEE
13 years 2 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...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Modern applications such as Internet traffic, telecommunication records, and large-scale social networks generate massive amounts of data with multiple aspects and high dimensiona...
AAAI
2008
13 years 7 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...