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NN
2008
Springer
143views Neural Networks» more  NN 2008»
13 years 8 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
WWW
2006
ACM
14 years 9 months ago
The web structure of e-government - developing a methodology for quantitative evaluation
In this paper we describe preliminary work that examines whether statistical properties of the structure of websites can be an informative measure of their quality. We aim to deve...
Vaclav Petricek, Tobias Escher, Ingemar J. Cox, He...
WSDM
2010
ACM
365views Data Mining» more  WSDM 2010»
14 years 5 months ago
A Novel Click Model and Its Applications to Online Advertising
Recent advances in click model have positioned it as an attractive method for representing user preferences in web search and online advertising. Yet, most of the existing works f...
Zeyuan Allen Zhu, Weizhu Chen, Tom Minka, Chenguan...
SIGCOMM
1997
ACM
14 years 20 days ago
Consistent Overhead Byte Stuffing
—Byte stuffing is a process that encodes a sequence of data bytes that may contain ‘illegal’ or ‘reserved’ values, using a potentially longer sequence that contains no oc...
Stuart Cheshire, Mary Baker
SIGMOD
2006
ACM
171views Database» more  SIGMOD 2006»
14 years 8 months ago
Communication-efficient distributed monitoring of thresholded counts
Monitoring is an issue of primary concern in current and next generation networked systems. For example, the objective of sensor networks is to monitor their surroundings for a va...
Ram Keralapura, Graham Cormode, Jeyashankher Ramam...