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114
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IVC
2000
104views more  IVC 2000»
15 years 3 months ago
Learning spatio-temporal patterns for predicting object behaviour
Rule-based systems employed to model complex object behaviours, do not necessarily provide a realistic portrayal of true behaviour. To capture the real characteristics in a specif...
Neil Sumpter, Andrew J. Bulpitt
132
Voted
AIIDE
2008
15 years 6 months ago
Learning to be a Bot: Reinforcement Learning in Shooter Games
This paper demonstrates the applicability of reinforcement learning for first person shooter bot artificial intelligence. Reinforcement learning is a machine learning technique wh...
Michelle McPartland, Marcus Gallagher
147
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KDD
2009
ACM
224views Data Mining» more  KDD 2009»
15 years 8 months ago
Issues in evaluation of stream learning algorithms
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
João Gama, Raquel Sebastião, Pedro P...
141
Voted
WAPCV
2007
Springer
15 years 9 months ago
Embodied Active Vision in Language Learning and Grounding
Abstract. Most cognitive studies of language acquisition in both natural systems and artificial systems have focused on the role of purely linguistic information as the central co...
Chen Yu
158
Voted
SIGCSE
2002
ACM
202views Education» more  SIGCSE 2002»
15 years 3 months ago
A tutorial program for propositional logic with human/computer interactive learning
This paper describes a tutorial program that serves a double role as an educational tool and a research environment. First, it introduces students to fundamental concepts of propo...
Stacy Lukins, Alan Levicki, Jennifer Burg