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» Large-Scale Data Analysis Using Heuristic Methods
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SIGIR
2008
ACM
15 years 6 months ago
Learning from labeled features using generalized expectation criteria
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ACL
2004
15 years 8 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
RIAO
1997
15 years 8 months ago
An Analysis of Statistical and Syntactic Phrases
As the amount of textual information available through the World Wide Web grows, there is a growing need for high-precision IR systems that enable a user to nd useful information ...
Mandar Mitra, Chris Buckley, Amit Singhal, Claire ...
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 7 months ago
Spatial scan statistics: approximations and performance study
Spatial scan statistics are used to determine hotspots in spatial data, and are widely used in epidemiology and biosurveillance. In recent years, there has been much effort invest...
Deepak Agarwal, Andrew McGregor, Jeff M. Phillips,...
APVIS
2011
14 years 6 months ago
Full-resolution interactive CPU volume rendering with coherent BVH traversal
We present an efficient method for volume rendering by raycasting on the CPU. We employ coherent packet traversal of an implicit bounding volume hierarchy, heuristically pruned u...
Aaron Knoll, Sebastian Thelen, Ingo Wald, Charles ...