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» Predictable Dynamic Plugin Systems
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AGENTS
1998
Springer
15 years 4 months ago
Learning Situation-Dependent Costs: Improving Planning from Probabilistic Robot Execution
Physical domains are notoriously hard to model completely and correctly, especially to capture the dynamics of the environment. Moreover, since environments change, it is even mor...
Karen Zita Haigh, Manuela M. Veloso
ICDCS
1991
IEEE
15 years 4 months ago
Supporting the development of network programs
of ‘‘network computers’’ is inherently lessAbstract predictable than that of more traditional distributed memory systems, such as hypercubes [22], since both theFor computa...
Bernd Bruegge, Peter Steenkiste
126
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WSC
1997
15 years 1 months ago
MODSIM III - A Tutorial
This tutorial introduces the MODSIM III language, showing how its simulation "world view" together with its object-oriented architecture and built in graphics contribute...
John Goble
BMCBI
2006
146views more  BMCBI 2006»
15 years 15 days ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
110
Voted
ICRA
2010
IEEE
158views Robotics» more  ICRA 2010»
14 years 11 months ago
Movement templates for learning of hitting and batting
Abstract— Hitting and batting tasks, such as tennis forehands, ping-pong strokes, or baseball batting, depend on predictions where the ball can be intercepted and how it can prop...
Jens Kober, Katharina Mülling, Oliver Kroemer...