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DAGSTUHL
2007
13 years 7 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
ECAI
2010
Springer
13 years 5 months ago
Optimal Task Migration in Service-Oriented Systems: Algorithms and Mechanisms
In service-oriented systems, such as grids and clouds, users are able to outsource complex computational tasks by procuring resources on demand from remote service providers. As th...
Sebastian Stein, Enrico Gerding, Nicholas R. Jenni...
ACMICEC
2006
ACM
111views ECommerce» more  ACMICEC 2006»
13 years 9 months ago
Passive verification of the strategyproofness of mechanisms in open environments
Consider an open infrastructure in which anyone can deploy mechanisms to support automated decision making and coordination amongst self-interested computational agents. Strategyp...
Laura Kang, David C. Parkes

Publication
341views
15 years 4 months ago
Incentive Compatible Mechanisms for Decentralized Supply Chain Formation
In this thesis, we describe a decentralized supply chain formation problem where the supply chain planner or a central design authority (CDA) is faced with the decision of choosi...
Nikesh Kumar Srivastava
AIPS
2003
13 years 7 months ago
A Framework for Planning with Extended Goals under Partial Observability
Planning in nondeterministic domains with temporally extended goals under partial observability is one of the most challenging problems in planning. Subsets of this problem have b...
Piergiorgio Bertoli, Alessandro Cimatti, Marco Pis...