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» Learning and adaptivity in interactive recommender systems
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ECAL
2001
Springer
14 years 1 days ago
Pareto Optimality in Coevolutionary Learning
We develop a novel coevolutionary algorithm based upon the concept of Pareto optimality. The Pareto criterion is core to conventional multi-objective optimization (MOO) algorithms....
Sevan G. Ficici, Jordan B. Pollack
TAMODIA
2008
13 years 9 months ago
Learning Key Contexts of Use in the Wild for Driving Plastic User Interfaces Engineering
This paper addresses software plasticity, i.e. the ability of interactive systems to adapt to context of use while preserving user-centered properties. In plasticity, a classical a...
Vincent Ganneau, Gaëlle Calvary, Rachel Demum...
TSMC
1998
78views more  TSMC 1998»
13 years 7 months ago
Automata learning and intelligent tertiary searching for stochastic point location
—Consider the problem of a robot (learning mechanism or algorithm) attempting to locate a point on a line. The mechanism interacts with a random environment which essentially inf...
B. John Oommen, Govindachari Raghunath
OZCHI
2005
ACM
14 years 1 months ago
Making sense of student use of nonverbal cues for intelligent tutoring systems
Many software systems would significantly improve performance if they could interpret the nonverbal cues in their user’s interactions as humans normally do. Currently, Intellige...
Farhad Dadgostar, Hokyoung Ryu, Abdolhossein Sarra...
ICAT
2006
IEEE
14 years 1 months ago
An Animation System for Imitation of Object Grasping in Virtual Reality
Interactive virtual characters are nowadays commonplace in games, animations, and Virtual Reality (VR) applications. However, relatively few work has so far considered the animatio...
Matthias Weber, Guido Heumer, Heni Ben Amor, Bernh...