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SIGIR
2006
ACM
15 years 3 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
80
Voted
IUI
2005
ACM
15 years 3 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
WIDM
2005
ACM
15 years 3 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
JSSPP
2005
Springer
15 years 3 months ago
AnthillSched: A Scheduling Strategy for Irregular and Iterative I/O-Intensive Parallel Jobs
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Luís Fabrício Wanderley Góes,...
PKDD
2005
Springer
188views Data Mining» more  PKDD 2005»
15 years 3 months ago
Elastic Partial Matching of Time Series
We consider a problem of elastic matching of time series. We propose an algorithm that automatically determines a subsequence b of a target time series b that best matches a query ...
Longin Jan Latecki, Vasilis Megalooikonomou, Qiang...
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