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AGENTS
2001
Springer
15 years 8 months ago
Adjustable autonomy in real-world multi-agent environments
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Paul Scerri, David V. Pynadath, Milind Tambe
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 4 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
BMCBI
2006
175views more  BMCBI 2006»
15 years 3 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
ICC
2008
IEEE
153views Communications» more  ICC 2008»
15 years 10 months ago
MARIA: Interference-Aware Admission Control and QoS Routing in Wireless Mesh Networks
Abstract— Interference among concurrent transmissions complicates QoS provisioning for multimedia applications in wireless mesh networks. In this paper we propose MARIA (Mesh Adm...
Xiaolin Cheng, Prasant Mohapatra, Sung-Ju Lee, Suj...
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
15 years 10 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth