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ICANNGA
2007
Springer
105views Algorithms» more  ICANNGA 2007»
14 years 3 months ago
Reinforcement Learning in Fine Time Discretization
Reinforcement Learning (RL) is analyzed here as a tool for control system optimization. State and action spaces are assumed to be continuous. Time is assumed to be discrete, yet th...
Pawel Wawrzynski
ISNN
2007
Springer
14 years 3 months ago
Recurrent Fuzzy CMAC for Nonlinear System Modeling
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
OTM
2007
Springer
14 years 3 months ago
Semantically Resolving Type Mismatches in Scientific Workflows
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experiments on distributed resources. Scientific workflows are used as means for modeli...
Kheiredine Derouiche, Denis A. Nicole
HICSS
2005
IEEE
111views Biometrics» more  HICSS 2005»
14 years 2 months ago
Using Information Extraction for Quality Analysis in Human Authentication
During the past decade there have been significant advances in the field of Natural Language Processing (NLP) and, in particular, Information Extraction (IE) [2] which have fueled...
Kiyoshi Sudo, Amit Bagga, Lawrence O'Gorman, Jon L...
ITRE
2005
IEEE
14 years 2 months ago
Forecasting error tolerable resource allocation for All-IP networks
This paper will discuss some resource allocation methods that can tolerate forecast errors under the Budget-Based management infrastructure, BBQ, which is designed to offer end-to-...
Yao-Nan Lien, Yi-Min Chen