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AAAI
2007
14 years 14 days ago
Purely Epistemic Markov Decision Processes
Planning under uncertainty involves two distinct sources of uncertainty: uncertainty about the effects of actions and uncertainty about the current state of the world. The most wi...
Régis Sabbadin, Jérôme Lang, N...
AIPS
2008
14 years 14 days ago
Bounded-Parameter Partially Observable Markov Decision Processes
The POMDP is considered as a powerful model for planning under uncertainty. However, it is usually impractical to employ a POMDP with exact parameters to model precisely the real-...
Yaodong Ni, Zhi-Qiang Liu
USENIX
2008
14 years 14 days ago
Cutting Corners: Workbench Automation for Server Benchmarking
A common approach to benchmarking a server is to measure its behavior under load from a workload generator. Often a set of such experiments is required-perhaps with different serv...
Piyush Shivam, Varun Marupadi, Jeffrey S. Chase, T...
WSC
2008
14 years 13 days ago
Demand forecast of semiconductor products based on technology diffusion
Demand forecast plays a critical role to determine capital investment for capacity planning. Given the involved uncertainties and long lead-time for capacity expansion, semiconduc...
Chen-Fu Chien, Yun-Ju Chen, Jin-Tang Peng
CSCLP
2008
Springer
13 years 12 months ago
Challenges in Constraint-Based Analysis of Hybrid Systems
In the analysis of hybrid discrete-continuous systems, rich arithmetic constraint formulae with complex Boolean structure arise naturally. The iSAT algorithm, a solver for such for...
Andreas Eggers, Natalia Kalinnik, Stefan Kupfersch...