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CIMCA
2005
IEEE
15 years 3 months ago
Fuzzy Inference Model for Learning from Experiences and Its Application to Robot Navigation
A fuzzy inference model for learning from experiences (FILE) is proposed. The model can learn from experience data obtained by trial-and-error of a task and it can stably learn fr...
Manabu Gouko, Yoshihiro Sugaya, Hirotomo Aso
ESTIMEDIA
2008
Springer
14 years 11 months ago
Weighted feedback reclaiming for multimedia applications
Resource reservations are a very popular choice to schedule multimedia tasks. However, the high variability of the resource requirements hinders a static choice of the scheduling ...
Luigi Palopoli, Luca Abeni, Tommaso Cucinotta, Giu...
JMLR
2010
129views more  JMLR 2010»
14 years 4 months ago
Approximation of hidden Markov models by mixtures of experts with application to particle filtering
Selecting conveniently the proposal kernel and the adjustment multiplier weights of the auxiliary particle filter may increase significantly the accuracy and computational efficie...
Jimmy Olsson, Jonas Ströjby
SC
1994
ACM
15 years 2 months ago
Run-time and compile-time support for adaptive irregular problems
In adaptive irregular problems the data arrays are accessed via indirection arrays, and data access patterns change during computation. Implementingsuch problems ondistributed mem...
Shamik D. Sharma, Ravi Ponnusamy, Bongki Moon, Yua...
IPPS
2006
IEEE
15 years 4 months ago
Dynamically reconfigurable cache architecture using adaptive block allocation policy
In this paper, we present a dynamically reconfigurable cache architecture using adaptive block allocation policy analyzed by means of simulation. Our main objectives are: to propo...
Milene Barbosa Carvalho, Luís Fabríc...