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» Using model knowledge for learning inverse dynamics
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ITRE
2006
IEEE
14 years 1 months ago
A Knowledge Building Community Constructing a Knowledge Model Using Online Concept Maps
Knowledge models are structured representations of knowledge using symbols to represent pieces of knowledge and relationships between them, while a knowledge building community inv...
Moshe Leiba, Rafi Nachmias
IICAI
2007
13 years 9 months ago
Modeling Temporal Behavior via Structured Hidden Markov Models: an Application to Keystroking Dynamics
Structured Hidden Markov Models (S-HMM) are a variant of Hierarchical Hidden Markov Models; it provides an abstraction mechanism allowing a high level symbolic description of the k...
Ugo Galassi, Attilio Giordana, Charbel Julien, Lor...
ICASSP
2011
IEEE
12 years 11 months ago
Acoustic-to-articulatory inversion using an episodic memory
This paper presents a new acoustic-to-articulatory inversion methodbased on an episodic memory, which is an interesting model for two reasons. First, it does not rely on any assum...
Sébastien Demange, Slim Ouni
AMEC
2003
Springer
14 years 21 days ago
Improving Learning Performance by Applying Economic Knowledge
Digital information economies require information goods producers to learn how to position themselves within a potentially vast product space. Further, the topography of this spac...
Christopher H. Brooks, Robert S. Gazzale, Jeffrey ...
ISNN
2007
Springer
14 years 1 months ago
A Cognitive Model of Concept Learning with a Flexible Internal Representation System
In the human mind, high-order knowledge is categorically organized, yet the nature of its internal representation system is not well understood. While it has been traditionally con...
Toshihiko Matsuka, Yasuaki Sakamoto