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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
13 years 11 months ago
Ensemble pruning via individual contribution ordering
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
Zhenyu Lu, Xindong Wu, Xingquan Zhu, Josh Bongard
GIS
2008
ACM
14 years 8 months ago
Charting new ground: modeling user behavior in interactive geovisualization
Geovisualization has traditionally played a critical role in analysis and decision-making, but recent developments have also brought a revolution in widespread online access to ge...
David C. Wilson, Heather Richter Lipford, Erin Car...
IUI
2006
ACM
14 years 1 months ago
Who's asking for help?: a Bayesian approach to intelligent assistance
Automated software customization is drawing increasing attention as a means to help users deal with the scope, complexity, potential intrusiveness, and ever-changing nature of mod...
Bowen Hui, Craig Boutilier
ATAL
2007
Springer
14 years 1 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz
UM
2010
Springer
14 years 12 days ago
Modeling Individualization in a Bayesian Networks Implementation of Knowledge Tracing
The field of intelligent tutoring systems has been using the well known knowledge tracing model, popularized by Corbett and Anderson (1995) to track individual users’ knowledge f...
Zachary A. Pardos, Neil T. Heffernan