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» Boosting as a Metaphor for Algorithm Design
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78
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ICML
2008
IEEE
15 years 10 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
82
Voted
WWW
2010
ACM
15 years 4 months ago
SpotRank: a robust voting system for social news websites
In a social news website people share content they found on the web, called news, then vote for those they like the most. Voting for a news is then considered as a recommendation,...
Thomas Largillier, Guillaume Peyronnet, Sylvain Pe...
CIKM
2009
Springer
15 years 4 months ago
Interactive, topic-based visual text summarization and analysis
We are building an interactive, visual text analysis tool that aids users in analyzing a large collection of text. Unlike existing work in text analysis, which focuses either on d...
Shixia Liu, Michelle X. Zhou, Shimei Pan, Weihong ...
IUI
2004
ACM
15 years 3 months ago
Leafing digital content
Today the availability of large digital content archives (video, ebook, audio) creates many problems in terms of user interaction and data manipulation (browsing, searching). Many...
A. Barletta, M. Mayer, B. Moser
DAC
2009
ACM
15 years 2 months ago
GPU-based parallelization for fast circuit optimization
The progress of GPU (Graphics Processing Unit) technology opens a new avenue for boosting computing power. This work is an attempt to exploit GPU for accelerating VLSI circuit opt...
Yifang Liu, Jiang Hu