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» A Utile Function Optimizer
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ICML
2002
IEEE
14 years 8 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
PAMI
2011
13 years 2 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez
ISQED
2011
IEEE
230views Hardware» more  ISQED 2011»
12 years 11 months ago
Constraint generation for software-based post-silicon bug masking with scalable resynthesis technique for constraint optimizatio
Due to the dramatic increase in design complexity, verifying the functional correctness of a circuit is becoming more difficult. Therefore, bugs may escape all verification effo...
Chia-Wei Chang, Hong-Zu Chou, Kai-Hui Chang, Jie-H...
ATAL
2005
Springer
14 years 1 months ago
Modeling complex multi-issue negotiations using utility graphs
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...
WOSP
2010
ACM
14 years 9 days ago
A framework for utility-based service oriented design in SASSY
The architecture of a software system has a significant impact on its quality of service (QoS) as measured by several performance metrics such as execution time, availability, th...
Daniel A. Menascé, John M. Ewing, Hassan Go...