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EURONGI
2005
Springer
14 years 1 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
ICANN
2001
Springer
14 years 5 days ago
A Computational Intelligence Approach to Optimization with Unknown Objective Functions
In many practical engineering design problems, the form of objective function is not given explicitly in terms of design variables. Given the value of design variables, under this ...
Hirotaka Nakayama, Masao Arakawa, Rie Sasaki
ICCAD
1994
IEEE
90views Hardware» more  ICCAD 1994»
13 years 11 months ago
Algorithm selection: a quantitative computation-intensive optimization approach
Given a set of specifications for a targeted application, algorithm selection refers to choosing the most suitable algorithm for a given goal, among several functionally equivalen...
Miodrag Potkonjak, Jan M. Rabaey
NCI
2004
125views Neural Networks» more  NCI 2004»
13 years 9 months ago
A new approach to blind source separation with global optimal property
This paper presents a new independency metric for blind source separation (BSS) problem. It is mathematically proved that the metric value of any linear combination of source sign...
Yiu-ming Cheung, Hailin Liu