منابع مشابه
Active body schema learning
Humanoid and industrial robots are becoming increasingly complex. Most of the algorithms to control these systems require, or are improved with, a full kinematic model of the system. In this work, we are interested in autonomously learning the kinematic description, a.k.a. body schema, for unknown systems. Even for a calibrated system, the ability to continuously tune its parameters allows the ...
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................................................................................................................................. vii LIST OF FIGURES ..................................................................................................................... xiii CHAPTER
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We present the S-SSTC framework for machine translation (MT), introduced in 2002 and developed since as a set of working MT systems (SiSTeC-ebmt). Our approach is example-based, but differs from other EBMT approaches in that it uses alignments of string-tree alignments, and in that supervised learning is an integral part of the approach. Our model directly deals with three main difficulties in ...
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Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to make predictions more accurate. We extend the original schema mechanism [1] to handle arbitrary discrete-valued sensors, improve the original learning criteria to handle POMDP domains, and better maintain hidden state b...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 1998
ISSN: 0004-3702
DOI: 10.1016/s0004-3702(98)00029-0