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» Modeling Adaptive Behavior with Conceptual Spaces
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CIARP
2006
Springer
13 years 10 months ago
Robustness Analysis of the Neural Gas Learning Algorithm
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
Carolina Saavedra, Sebastián Moreno, Rodrig...
ICCD
2004
IEEE
126views Hardware» more  ICCD 2004»
14 years 5 months ago
Implementation of Fine-Grained Cache Monitoring for Improved SMT Scheduling
Simultaneous Multithreading (SMT) is emerging as an effective microarchitecture model to increase the utilization of resources in modern super-scalar processors. However, co-sched...
Joshua L. Kihm, Daniel A. Connors
BMCBI
2006
146views more  BMCBI 2006»
13 years 8 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ISPASS
2007
IEEE
14 years 2 months ago
Modeling and Characterizing Power Variability in Multicore Architectures
Parameter variation due to manufacturing error will be an unavoidable consequence of technology scaling in future generations. The impact of random variation in physical factors s...
Ke Meng, Frank Huebbers, Russ Joseph, Yehea I. Ism...
ATAL
2010
Springer
13 years 9 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls