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FSS
2010
147views more  FSS 2010»
13 years 7 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 10 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 2 months ago
A framework for learning coordinated behavior
We sketch a framework for learning structured coordinated behavior, specifically the tactical behavior of Experimental Unmanned Vehicles (XUVs). We conceptualize an XUV unit as a ...
Albert C. Esterline, Chafic BouSaba, Abdollah Homa...
AROBOTS
2007
159views more  AROBOTS 2007»
13 years 8 months ago
Structure-based color learning on a mobile robot under changing illumination
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
Mohan Sridharan, Peter Stone
ISF
2008
210views more  ISF 2008»
13 years 8 months ago
Affective e-Learning in residential and pervasive computing environments
This article examines how emerging pervasive computing and affective computing technologies might enhance the adoption of ICT in e-Learning which takes place in the home and wider ...
Liping Shen, Victor Callaghan, Ruimin Shen