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» Small Models of Large Machines
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IUI
2003
ACM
15 years 2 months ago
Adapting to the user's internet search strategy on small devices
World Wide Web search engines typically return thousands of results to the users. To avoid users browsing through the whole list of results, search engines use ranking algorithms ...
Jean-David Ruvini
81
Voted
ICML
2005
IEEE
15 years 10 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
ACL
2012
13 years 1 days ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
CHI
2003
ACM
15 years 10 months ago
The gateway: a navigation technique for migrating to small screens
Displaying and navigating information on a large screen can be a challenge and has resulted in a variety of techniques such as text summarization and fisheye. An additional challe...
Bonnie MacKay
WWW
2009
ACM
15 years 10 months ago
Link based small sample learning for web spam detection
Robust statistical learning based web spam detection system often requires large amounts of labeled training data. However, labeled samples are more difficult, expensive and time ...
Guanggang Geng, Qiudan Li, Xinchang Zhang