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» Using model knowledge for learning inverse dynamics
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106
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HICSS
2002
IEEE
128views Biometrics» more  HICSS 2002»
15 years 7 months ago
Flexible Instructional Strategies for E-learning
This paper provides an overview on a German lighthouse research project called L3 in the area of e-learning systems that supply e-learning services via a virtual private network. ...
Michael Altenhofen, Joachim Schaper
129
Voted
IROS
2009
IEEE
187views Robotics» more  IROS 2009»
15 years 9 months ago
Compliant quadruped locomotion over rough terrain
— Many critical elements for statically stable walking for legged robots have been known for a long time, including stability criteria based on support polygons, good foothold se...
Jonas Buchli, Mrinal Kalakrishnan, Michael Mistry,...
ATAL
2008
Springer
15 years 4 months ago
Approximate predictive state representations
Predictive state representations (PSRs) are models that represent the state of a dynamical system as a set of predictions about future events. The existing work with PSRs focuses ...
Britton Wolfe, Michael R. James, Satinder P. Singh
130
Voted
SEMCO
2008
IEEE
15 years 9 months ago
Disambiguating Sounds through Context
A central problem in automatic sound recognition is the mapping between low-level audio features and the meaningful content of an auditory scene. We propose a dynamic network mode...
Maria E. Niessen, Leendert van Maanen, Tjeerd C. A...
123
Voted
IUI
2009
ACM
15 years 11 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick