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ICAC
2006
IEEE
16 years 20 days ago
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
— Reinforcement Learning (RL) provides a promising new approach to systems performance management that differs radically from standard queuing-theoretic approaches making use of ...
Gerald Tesauro, Nicholas K. Jong, Rajarshi Das, Mo...
SAC
2006
ACM
16 years 17 days ago
Proactive resilience through architectural hybridization
In a recent work, we have shown that it is not possible to dependably build any type of distributed f fault or intrusiontolerant system under the asynchronous model. This result f...
Paulo Sousa, Nuno Ferreira Neves, Paulo Verí...
MIR
2005
ACM
176views Multimedia» more  MIR 2005»
16 years 5 days ago
Hybrid visual and conceptual image representation within active relevance feedback context
Many of the available image databases have keyword annotations associated with the images. In spite of the availability of good quality low-level visual features that reflect wel...
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
HPCC
2005
Springer
16 years 4 days ago
A Hybrid Web Server Architecture for Secure e-Business Web Applications
Nowadays the success of many e-commerce applications, such as on-line banking, depends on their reliability, robustness and security. Designing a web server architecture that keep...
Vicenç Beltran, David Carrera, Jordi Guitar...
GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
16 years 1 hour ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...