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» Measuring the Complexity of Classification Problems
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WOTE
2010
13 years 6 months ago
On Optical Mark-Sense Scanning
Optical mark-sense scanning has lead to a resurgence in the use of paper ballots in the United States, despite a century of strong competition from paperless direct-recording votin...
Douglas W. Jones
CHI
2005
ACM
14 years 8 months ago
Studying the effectiveness of MOVE: a contextually optimized in-vehicle navigation system
In-vehicle navigation has changed substantially in recent years, due to the advent of computer generated maps and directions. However, these maps are still problematic, due to a m...
Joonhwan Lee, Jodi Forlizzi, Scott E. Hudson
ELPUB
2007
ACM
13 years 11 months ago
Automatic Sentiment Analysis in On-line Text
The growing stream of content placed on the Web provides a huge collection of textual resources. People share their experiences on-line, ventilate their opinions (and frustrations...
Erik Boiy, Pieter Hens, Koen Deschacht, Marie-Fran...
BMCBI
2010
129views more  BMCBI 2010»
13 years 7 months ago
Automatic prediction of catalytic residues by modeling residue structural neighborhood
Background: Prediction of catalytic residues is a major step in characterizing the function of enzymes. In its simpler formulation, the problem can be cast into a binary classific...
Elisa Cilia, Andrea Passerini
BMCBI
2010
143views more  BMCBI 2010»
13 years 7 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli