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SEMWEB
2009
Springer
15 years 6 months ago
TripleRank: Ranking Semantic Web Data by Tensor Decomposition
Abstract. The Semantic Web fosters novel applications targeting a more efficient and satisfying exploitation of the data available on the web, e.g. faceted browsing of linked open...
Thomas Franz, Antje Schultz, Sergej Sizov, Steffen...
TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 2 months ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
ICDE
2008
IEEE
189views Database» more  ICDE 2008»
15 years 6 months ago
Adapting ranking functions to user preference
— Learning to rank has become a popular method for web search ranking. Traditionally, expert-judged examples are the major training resource for machine learned web ranking, whic...
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, ...
ISCA
2010
IEEE
189views Hardware» more  ISCA 2010»
15 years 4 months ago
RETCON: transactional repair without replay
Over the past decade there has been a surge of academic and industrial interest in optimistic concurrency, i.e. the speculative parallel execution of code regions that have the se...
Colin Blundell, Arun Raghavan, Milo M. K. Martin