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» Learning from Partial Observations
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ICRA
2003
IEEE
141views Robotics» more  ICRA 2003»
14 years 28 days ago
Knot planning from observation
—The learning from observation (LFO) paradigm has been widely applied in various types of robot systems. It helps reduce the work of the programmer. However, the applications of ...
Takuma Morita, Jun Takamatsu, Koichi Ogawara, Hiro...
ICTAI
1996
IEEE
13 years 11 months ago
Incremental Markov-Model Planning
This paper presents an approach to building plans using partially observable Markov decision processes. The approach begins with a base solution that assumes full observability. T...
Richard Washington
FLAIRS
2001
13 years 9 months ago
Extracting Partial Structures from HTML Documents
The new wrapper model for extractiong text data from HTML documents is introduced. The Kushmerick's wrapper class (Kusshmerick 2000) may be unsuccessful in the case that suff...
Hiroshi Sakamoto, Yoshitsugu Murakami, Hiroki Arim...
ECCV
2004
Springer
14 years 9 months ago
Decision Theoretic Modeling of Human Facial Displays
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
Jesse Hoey, James J. Little
FUIN
2007
84views more  FUIN 2007»
13 years 7 months ago
Observation Based System Security
A formal model for description of passive and active timing attacks is presented, studied and compared with other security concepts. It is based on a timed process algebra and on a...
Damas P. Gruska