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» The Dark Side of Object Learning: Learning Objects
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147
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IJCNN
2008
IEEE
15 years 10 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
163
Voted
W4A
2005
ACM
15 years 9 months ago
Designing learning systems to provide accessible services
The need for providing learners with web-based learning content that match their accessibility needs and preferences, as well as providing ways to match learning content to userâ€...
Pythagoras Karampiperis, Demetrios G. Sampson
128
Voted
ATAL
2008
Springer
15 years 5 months ago
Aligning social welfare and agent preferences to alleviate traffic congestion
Multiagent coordination algorithms provide unique insights into the challenging problem of alleviating traffic congestion. What is particularly interesting in this class of proble...
Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
125
Voted
AAAI
2006
15 years 4 months ago
Active Learning with Near Misses
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
Nela Gurevich, Shaul Markovitch, Ehud Rivlin
134
Voted
IJCSA
2008
96views more  IJCSA 2008»
15 years 3 months ago
Integration of Educational Specifications and Standards to Support Adaptive Learning Scenarios in ADAPTAPlan
ADAPTAPlan project provides dynamic assistance for reducing authors' effort in developing instructional design tasks using user modelling, planning and machine learning techn...
Silvia Baldiris, Olga C. Santos, Carmen Barrera, J...