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» Learning for Sequence Extraction Tasks
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ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
13 years 5 months ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...
ICML
2005
IEEE
14 years 8 months ago
Evaluating machine learning for information extraction
Comparative evaluation of Machine Learning (ML) systems used for Information Extraction (IE) has suffered from various inconsistencies in experimental procedures. This paper repor...
Neil Ireson, Fabio Ciravegna, Mary Elaine Califf, ...
AIED
2009
Springer
14 years 2 months ago
Off-Task Behavior in Narrative-Centered Learning Environments
Recent years have seen increasing interest in narrative-centered learning environments. However, the same qualities that make them engaging can also introduce seductive details tha...
Jonathan P. Rowe, Scott W. McQuiggan, Jennifer L. ...
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
14 years 1 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
CSL
2002
Springer
13 years 7 months ago
Learning visually grounded words and syntax for a scene description task
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
Deb K. Roy