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KDD
2009
ACM
14 years 10 months ago
2009
ACM
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
KDD
2009
ACM
14 years 10 months ago
2009
ACM
All Netflix Prize algorithms proposed so far are prohibitively costly for large-scale production systems. In this paper, we describe an efficient dataflow implementation of a coll...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
KDD
2007
ACM
14 years 10 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...