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SIGIR
2006
ACM
16 years 21 days ago
Large scale semi-supervised linear SVMs
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Vikas Sindhwani, S. Sathiya Keerthi
SIGIR
2006
ACM
16 years 21 days ago
Mining dependency relations for query expansion in passage retrieval
Classical query expansion techniques such as the local context analysis (LCA) make use of term co-occurrence statistics to incorporate additional contextual terms for enhancing pa...
Renxu Sun, Chai-Huat Ong, Tat-Seng Chua
SIGIR
2006
ACM
16 years 21 days ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
SIGMETRICS
2006
ACM
104views Hardware» more  SIGMETRICS 2006»
16 years 21 days ago
Modeling adoptability of secure BGP protocols
Despite the existence of several secure BGP routing protocols, there has been little progress to date on actual adoption. Although feasibility for widespread adoption remains the ...
Haowen Chan, Debabrata Dash, Adrian Perrig, Hui Zh...
SIGMETRICS
2006
ACM
102views Hardware» more  SIGMETRICS 2006»
16 years 21 days ago
On the way to a distributed systems calculus: an end-to-end network calculus with data scaling
Network calculus is a min-plus system theory which facilitates the efficient derivation of performance bounds for networks of queues. It has successfully been applied to provide e...
Markus Fidler, Jens B. Schmitt
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