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» Composing Adaptive Learning Systems
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129
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IROS
2009
IEEE
155views Robotics» more  IROS 2009»
15 years 9 months ago
Active learning using mean shift optimization for robot grasping
— When children learn to grasp a new object, they often know several possible grasping points from observing a parent’s demonstration and subsequently learn better grasps by tr...
Oliver Kroemer, Renaud Detry, Justus H. Piater, Ja...
ECCV
2008
Springer
16 years 4 months ago
Learning Visual Shape Lexicon for Document Image Content Recognition
Developing effective content recognition methods for diverse imagery continues to challenge computer vision researchers. We present a new approach for document image content catego...
Guangyu Zhu, Xiaodong Yu, Yi Li, David S. Doermann
ATAL
2005
Springer
15 years 8 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
125
Voted
NORDICHI
2004
ACM
15 years 7 months ago
Adaptivity in speech-based multilingual e-mail client
In speech interfaces users must be aware what can be done with the system – in other words, the system must provide information to help the users to know what to say. We have ad...
Esa-Pekka Salonen, Mikko Hartikainen, Markku Turun...
IJON
1998
158views more  IJON 1998»
15 years 2 months ago
Bayesian Kullback Ying-Yang dependence reduction theory
Bayesian Kullback Ying—Yang dependence reduction system and theory is presented. Via stochastic approximation, implementable algorithms and criteria are given for parameter lear...
Lei Xu