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ECTEL
2008
Springer
13 years 9 months ago
Self-Explaining Agents in Virtual Training
Abstract. Virtual training systems are increasingly used for the training of complex, dynamic tasks. To give trainees the opportunity to train autonomously, intelligent agents are ...
Maaike Harbers
DAGSTUHL
2007
13 years 9 months ago
Incentive Compatible Regression Learning
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
SNPD
2008
13 years 9 months ago
Towards Formal Modeling and Analysis of Networks of Embedded Medical Devices in Real-Time Maude
With the increasing number of medical devices and of accidents resulting from them being used in isolation in a hectic operating room, there is a trend towards integrating such de...
Peter Csaba Ölveczky
NIPS
2003
13 years 9 months ago
Perspectives on Sparse Bayesian Learning
Recently, relevance vector machines (RVM) have been fashioned from a sparse Bayesian learning (SBL) framework to perform supervised learning using a weight prior that encourages s...
David P. Wipf, Jason A. Palmer, Bhaskar D. Rao
ICML
2010
IEEE
13 years 9 months ago
Robust Formulations for Handling Uncertainty in Kernel Matrices
We study the problem of uncertainty in the entries of the Kernel matrix, arising in SVM formulation. Using Chance Constraint Programming and a novel large deviation inequality we ...
Sahely Bhadra, Sourangshu Bhattacharya, Chiranjib ...