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SIGIR
2006
ACM
15 years 5 months 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
103
Voted
CIKM
2004
Springer
15 years 5 months ago
Local methods for estimating pagerank values
The Google search engine uses a method called PageRank, together with term-based and other ranking techniques, to order search results returned to the user. PageRank uses link ana...
Yen-Yu Chen, Qingqing Gan, Torsten Suel
DSMML
2004
Springer
15 years 5 months ago
Redundant Bit Vectors for Quickly Searching High-Dimensional Regions
Applications such as audio fingerprinting require search in high dimensions: find an item in a database that is similar to a query. An important property of this search task is t...
Jonathan Goldstein, John C. Platt, Christopher J. ...
ICALP
1999
Springer
15 years 4 months ago
Online Data Structures in External Memory
The data sets for many of today's computer applications are too large to t within the computer's internal memory and must instead be stored on external storage devices su...
Jeffrey Scott Vitter
ICDCS
1999
IEEE
15 years 4 months ago
Search Space Reduction in QoS Routing
To provide real-time service or engineer constrained-based paths, networks require the underlying routing algorithm to be able to find low-cost paths that satisfy given Quality-of...
Liang Guo, Ibrahim Matta