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» Learning and adaptivity in interactive recommender systems
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IFIP12
2009
14 years 11 months ago
Learning Rules from User Behaviour
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of pr...
Domenico Corapi, Oliver Ray, Alessandra Russo, Aro...
140
Voted
CVPR
2008
IEEE
16 years 3 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
ITICSE
2004
ACM
15 years 7 months ago
Using interactive technology in a short java course: an experience report
Keeping students alert and responsive during lectures is a challenge even for experienced teachers in small group settings. Research has shown the importance of student participat...
Roberto E. Lopez-Herrejon, Morrie Schulman
AAAI
2006
15 years 3 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
ATAL
2008
Springer
15 years 3 months ago
Emerging coordination in infinite team Markov games
In this paper we address the problem of coordination in multi-agent sequential decision problems with infinite statespaces. We adopt a game theoretic formalism to describe the int...
Francisco S. Melo, M. Isabel Ribeiro