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» Arguing and Explaining Classifications
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SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
12 years 11 months ago
No free lunch in data privacy
Differential privacy is a powerful tool for providing privacypreserving noisy query answers over statistical databases. It guarantees that the distribution of noisy query answers...
Daniel Kifer, Ashwin Machanavajjhala
ITS
2010
Springer
163views Multimedia» more  ITS 2010»
14 years 1 months ago
Using Problem-Solving Context to Assess Help Quality in Computer-Mediated Peer Tutoring
Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tuto...
Erin Walker, Sean Walker, Nikol Rummel, Kenneth R....
CHI
2009
ACM
14 years 9 months ago
Values as lived experience: evolving value sensitive design in support of value discovery
The Value Sensitive Design (VSD) methodology provides a comprehensive framework for advancing a value-centered research and design agenda. Although VSD provides helpful ways of th...
Christopher A. Le Dantec, Erika Shehan Poole, Susa...
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 8 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish
JASIS
2006
96views more  JASIS 2006»
13 years 8 months ago
Learning to classify documents according to genre
Genre or style analysis can be used to improve results achieved using standard IR techniques. A genre class is a group of documents that are written in a similar style. Genre clas...
Aidan Finn, Nicholas Kushmerick