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NIPS
2008
14 years 11 months ago
A rational model of preference learning and choice prediction by children
Young children demonstrate the ability to make inferences about the preferences of other agents based on their choices. However, there exists no overarching account of what childr...
Christopher G. Lucas, Thomas L. Griffiths, Fei Xu,...
IJCAI
2003
14 years 11 months ago
Spectral Learning
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
Sepandar D. Kamvar, Dan Klein, Christopher D. Mann...
WSC
2001
14 years 11 months ago
Improving simulation model adaptability with a production control framework
Simulation models provide a powerful tool for the analysis of manufacturing systems, but their utility beyond the design stage of the system life cycle is hampered by the high cos...
Sean M. Gahagan, Jeffrey W. Herrmann
ICML
2010
IEEE
14 years 11 months ago
One-sided Support Vector Regression for Multiclass Cost-sensitive Classification
We propose a novel approach that reduces cost-sensitive classification to one-sided regression. The approach stores the cost information in the regression labels and encodes the m...
Han-Hsing Tu, Hsuan-Tien Lin
JVCA
2010
82views more  JVCA 2010»
14 years 8 months ago
Situation agents: agent-based externalized steering logic
We present a simple and intuitive method for encapsulating part of agents’ steering and coordinating abilities into a new class of agents, called situation agents. Situation age...
Matthew Schuerman, Shawn Singh, Mubbasir Kapadia, ...