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» Using model knowledge for learning inverse dynamics
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ICIP
2005
IEEE
14 years 2 months ago
Recognition of human activities using space dependent switched dynamical models
This paper describes a new algorithm for the recognition of human activities. These activities are modelled using banks of switched dynamical models, each of which is tailored to ...
Jacinto C. Nascimento, Mário A. T. Figueire...
FLAIRS
2004
13 years 10 months ago
The Power of Experience: On the Usefulness of Validation Knowledge
TURING Test technologies are promising ways to validate AI systems which may have no alternative way to indicate validity. Human experts (validators) are often too expensive to in...
Rainer Knauf, Setsuo Tsuruta, Kenichi Uehara, Taka...
COGSR
2011
105views more  COGSR 2011»
13 years 3 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
ECAI
1990
Springer
14 years 23 days ago
Knowledge-Intensive Case-Based Reasoning and Sustained Learning
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previously solved case, using the past solution in solving the new problem. A case-based...
Agnar Aamodt
JMLR
2010
103views more  JMLR 2010»
13 years 3 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider