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SYNASC
2005
IEEE
97views Algorithms» more  SYNASC 2005»
16 years 6 days ago
A Reinforcement Learning Algorithm for Spiking Neural Networks
The paper presents a new reinforcement learning mechanism for spiking neural networks. The algorithm is derived for networks of stochastic integrate-and-fire neurons, but it can ...
Razvan V. Florian
ICPP
2000
IEEE
15 years 11 months ago
A Fault-Tolerant Adaptive and Minimal Routing Approach in n-D Meshes
In this paper a sufficient condition is given for minimal routing in n-dimensional (n-D) meshes with faulty nodes contained in a set of disjoint fault regions. It is based on an ...
Jie Wu
AUTONOMICS
2009
ACM
16 years 1 months ago
A Generic Agent Organisation Framework for Autonomic Systems
Abstract. Autonomic computing is being advocated as a tool for managing large, complex computing systems. Specifically, self-organisation provides a suitable approach for developi...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...
ISCAS
2007
IEEE
136views Hardware» more  ISCAS 2007»
16 years 28 days ago
Flexible Low Power Probability Density Estimation Unit For Speech Recognition
— This paper describes the hardware architecture for a flexible probability density estimation unit to be used in a Large Vocabulary Speech Recognition System, and targeted for m...
Ullas Pazhayaveetil, Dhruba Chandra, Paul Franzon
199
Voted
AISADM
2005
Springer
16 years 5 days ago
Execution Engine of Meta-learning System for KDD in Multi-agent Environment
Meta-learning system for KDD is an open and evolving platform for efficient testing and intelligent recommendation of data mining process. Metalearning is adopted to automate the s...
Ping Luo, Qing He, Rui Huang, Fen Lin, Zhongzhi Sh...