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ATAL
2010
Springer
13 years 11 months ago
Linear options
Learning, planning, and representing knowledge in large state t multiple levels of temporal abstraction are key, long-standing challenges for building flexible autonomous agents. ...
Jonathan Sorg, Satinder P. Singh
IJON
2007
184views more  IJON 2007»
13 years 10 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
AML
2005
101views more  AML 2005»
13 years 10 months ago
Forcing and antifoundation
It is proved that the forcing apparatus can be built and set to work in ZFCA (=ZFC minus foundation plus the antifoundation axiom AFA). The key tools for this construction are gre...
Athanassios Tzouvaras
BMCBI
2004
323views more  BMCBI 2004»
13 years 10 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
JOCN
2010
123views more  JOCN 2010»
13 years 5 months ago
Human Brain Dynamics Accompanying Use of Egocentric and Allocentric Reference Frames during Navigation
Maintaining spatial orientation while travelling requires integrating spatial information encountered from an egocentric viewpoint with accumulated information represented within ...
Klaus Gramann, Julie Onton, Davide Riccobon, Herma...