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ICRA
2010
IEEE
137views Robotics» more  ICRA 2010»
13 years 8 months ago
Robot reinforcement learning using EEG-based reward signals
Abstract— Reinforcement learning algorithms have been successfully applied in robotics to learn how to solve tasks based on reward signals obtained during task execution. These r...
Iñaki Iturrate, Luis Montesano, Javier Ming...
ITS
2004
Springer
155views Multimedia» more  ITS 2004»
14 years 3 months ago
Modeling the Development of Problem Solving Skills in Chemistry with a Web-Based Tutor
This research describes a probabilistic approach for developing predictive models of how students learn problem-solving skills in general qualitative chemistry. The goal is to use ...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
ICIP
2003
IEEE
14 years 11 months ago
Image compression with on-line and off-line learning
Images typically contain smooth regions, which are easily compressed by linear transforms, and high activity regions (edges, textures), which are harder to compress. To compress t...
Patrice Y. Simard, Christopher J. C. Burges, David...
GREC
2003
Springer
14 years 3 months ago
User Adaptation for Online Sketchy Shape Recognition
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
Zhengxing Sun, Liu Wenyin, Binbin Peng, Bin Zhang,...
IADIS
2003
13 years 11 months ago
E-Blended Learning for Distance Learners
E-blended learning as a new methodology will be explained. E-blended learning scenario for distance learners will include live sessions. During the last years we developed e-learn...
Jeanne Schreurs