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» A Framework for Multiple-Instance Learning
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DAGSTUHL
2007
13 years 10 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
CVPR
2008
IEEE
13 years 9 months ago
Robust learning of discriminative projection for multicategory classification on the Stiefel manifold
Learning a robust projection with a small number of training samples is still a challenging problem in face recognition, especially when the unseen faces have extreme variation in...
Duc-Son Pham, Svetha Venkatesh
AAMAS
2007
Springer
13 years 9 months ago
Shaping multi-agent systems with gradient reinforcement learning
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Olivier Buffet, Alain Dutech, François Char...
JUCS
2008
104views more  JUCS 2008»
13 years 9 months ago
Optimal Transit Price Negotiation: The Distributed Learning Perspective
: We present a distributed learning algorithm for optimizing transit prices in the inter-domain routing framework. We present a combined game theoretical and distributed algorithmi...
Dominique Barth, Loubna Echabbi, Chahinez Hamlaoui
IJON
2010
120views more  IJON 2010»
13 years 7 months ago
Semi-supervised learning with varifold Laplacians
This paper presents varifold learning, a learning framework based on the mathematical concept of varifolds. Different from manifold based methods, our varifold learning framework ...
Lei Ding, Peibiao Zhao