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85
Voted
ICDM
2002
IEEE
15 years 5 months ago
2002
IEEE
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
116
Voted
NIPS
2008
15 years 2 months ago
2008
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
110
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WWW
2007
ACM
16 years 1 months ago
2007
ACM
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
147
Voted
CVPR
2010
IEEE
15 years 24 days ago
2010
IEEE
This paper proposes a probabilistic graphical model for the problem of propagating labels in video sequences, also termed the label propagation problem. Given a limited amount of ...
124
Voted
BMCBI
2008
15 years 22 days ago
2008
Background: Data mining in large DNA sequences is a major challenge in microbial genomics and bioinformatics. Oligonucleotide usage (OU) patterns provide a wealth of information f...