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ESANN
2006
13 years 8 months ago
Using Regression Error Characteristic Curves for Model Selection in Ensembles of Neural Networks
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regre...
Aloísio Carlos de Pina, Gerson Zaverucha
EUROPAR
2008
Springer
13 years 9 months ago
Guest-Aware Priority-Based Virtual Machine Scheduling for Highly Consolidated Server
The use of virtualization is rapidly expanding from server consolidation to various computing systems including PC, multimedia set-top box and gaming console. However, different fr...
Dongsung Kim, Hwanju Kim, Myeongjae Jeon, Euiseong...
DATE
2010
IEEE
261views Hardware» more  DATE 2010»
14 years 17 days ago
Evaluation and design exploration of solar harvested-energy prediction algorithm
Abstract—To respond to variations in solar energy, harvestedenergy prediction is essential to harvested-energy management approaches. The effectiveness of such approaches is depe...
Mustafa Imran Ali, Bashir M. Al-Hashimi, Joaqu&iac...
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
13 years 11 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
IJCAI
2007
13 years 9 months ago
Heuristic Selection of Actions in Multiagent Reinforcement Learning
This work presents a new algorithm, called Heuristically Accelerated Minimax-Q (HAMMQ), that allows the use of heuristics to speed up the wellknown Multiagent Reinforcement Learni...
Reinaldo A. C. Bianchi, Carlos H. C. Ribeiro, Anna...