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» An Observation Framework for Multi-agent Systems
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ESANN
2007
13 years 8 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
BMCBI
2010
259views more  BMCBI 2010»
13 years 2 months ago
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Ma...
IROS
2007
IEEE
175views Robotics» more  IROS 2007»
14 years 1 months ago
Simulation and weights of multiple cues for robust object recognition
Reliable recognition of objects is an important capabaility in the progress towards getting agents to accomplish and assist in a variety of useful tasks such as search and rescue ...
Sarah Aboutalib, Manuela M. Veloso
MHCI
2005
Springer
14 years 27 days ago
Three applications for mobile epidemic algorithms
This paper presents a framework for the pervasive sharing of data using wireless networks. ‘FarCry’ uses the mobility of users to carry files between separated networks. Throu...
Paul Tennent, Malcolm Hall, Barry Brown, Matthew C...
HICSS
1994
IEEE
141views Biometrics» more  HICSS 1994»
13 years 11 months ago
Empirical CATeam Research in Meetings
Meeting research and especially research on Computer Supported Meetings of natural teams is not available in abundance. What is reported of meetings often uses a rather limited th...
Helmut Krcmar, Henrik Lewe, Gerhard Schwabe