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» Statistical Learning Theory: A Primer
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FLAIRS
2008
13 years 10 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
UAI
2000
13 years 9 months ago
Utilities as Random Variables: Density Estimation and Structure Discovery
Decision theory does not traditionally include uncertainty over utility functions. We argue that the a person's utility value for a given outcome can be treated as we treat o...
Urszula Chajewska, Daphne Koller
KDD
2012
ACM
199views Data Mining» more  KDD 2012»
11 years 10 months ago
Trustworthy online controlled experiments: five puzzling outcomes explained
Online controlled experiments are often utilized to make datadriven decisions at Amazon, Microsoft, eBay, Facebook, Google, Yahoo, Zynga, and at many other companies. While the th...
Ron Kohavi, Alex Deng, Brian Frasca, Roger Longbot...
SIGIR
2010
ACM
13 years 7 months ago
SED: supervised experimental design and its application to text classification
In recent years, active learning methods based on experimental design achieve state-of-the-art performance in text classification applications. Although these methods can exploit ...
Yi Zhen, Dit-Yan Yeung
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
14 years 8 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...