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SIGECOM
2004
ACM
135views ECommerce» more  SIGECOM 2004»
16 years 19 hour ago
Applying learning algorithms to preference elicitation
We consider the parallels between the preference elicitation problem in combinatorial auctions and the problem of learning an unknown function from learning theory. We show that l...
Sébastien Lahaie, David C. Parkes
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 6 months ago
Single Parameter Combinatorial Auctions with Partially Public Valuations
We consider the problem of designing truthful auctions, when the bidders' valuations have a public and a private component. In particular, we consider combinatorial auctions w...
Gagan Goel, Chinmay Karande, Lei Wang
HYBRID
2010
Springer
16 years 1 months ago
Real-time scheduling of mixture-of-experts systems with limited resources
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Prapaporn Rattanatamrong, José A. B. Fortes
FPL
1997
Springer
242views Hardware» more  FPL 1997»
15 years 10 months ago
Technology mapping by binate covering
Technology mapping can be viewed as the optimization problem of finding a minimum cost cover of the given Boolean network by choosing from given library of logic cells. The core of...
Michal Servít, Kang Yi
WSC
1998
15 years 8 months ago
Using ACCESSIBILITY to Assess the Performance of Generalized Hill Climbing Algorithms
The search problem, ACCESSIBILITY, asks whether a finite sequence of events can be found such that, starting with a specific initial event, a particular state can be reached. This...
Sheldon H. Jacobson, Enver Yücesan