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ICNC
2005
Springer
14 years 26 days ago
Modeling Human Learning as Context Dependent Knowledge Utility Optimization
Abstract. Humans have the ability to flexibly adjust their information processing strategy according to situational characteristics. However, such ability has been largely overloo...
Toshihiko Matsuka
SIGMOD
2009
ACM
114views Database» more  SIGMOD 2009»
14 years 7 months ago
A framework for testing query transformation rules
In order to enable extensibility, modern query optimizers typically leverage a transformation rule based framework. Testing individual rule correctness as well as correctness of r...
Hicham G. Elmongui, Vivek R. Narasayya, Ravishanka...
DATE
2008
IEEE
136views Hardware» more  DATE 2008»
14 years 1 months ago
A Framework of Stochastic Power Management Using Hidden Markov Model
- The effectiveness of stochastic power management relies on the accurate system and workload model and effective policy optimization. Workload modeling is a machine learning proce...
Ying Tan, Qinru Qiu
LSSC
2007
Springer
14 years 1 months ago
Optimization Based Stabilization of Nonlinear Control Systems
We present a general framework for analysis and design of optimization based numerical feedback stabilization schemes utilizing ideas from relaxed dynamic programming. The applicat...
Lars Grüne
ICEIS
2009
IEEE
14 years 2 months ago
A Service Composition Framework for Decision Making under Uncertainty
Proposed and developed is a service composition framework for decision-making under uncertainty, which is applicable to stochastic optimization of supply chains. Also developed is ...
Malak Al-Nory, Alexander Brodsky, Hadon Nash