202 search results - page 16 / 41 » How Local Should a Learning Method Be |
136
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ICRA
2008
IEEE
15 years 8 months ago
2008
IEEE
— Motion and sensor models are crucial components in current algorithms for mobile robot localization and mapping. These models are typically provided and hand-tuned by a human o...
122
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HRI
2006
ACM
15 years 8 months ago
2006
ACM
The essence of the signal-to-symbol problem consists of associating a symbolic description of an object (e.g., a chair) to a signal (e.g., an image) that captures the real object....
122
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IJAR
2007
15 years 2 months ago
2007
The use of several types of structural restrictions within algorithms for learning Bayesian networks is considered. These restrictions may codify expert knowledge in a given domai...
105
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ECSQARU
2005
Springer
15 years 8 months ago
2005
Springer
In this paper we explore the use of several types of structural restrictions within algorithms for learning Bayesian networks. These restrictions may codify expert knowledge in a g...
130
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ICCD
1995
IEEE
15 years 6 months ago
1995
IEEE
Symbolic model checking is a successful technique for checking properties of large finite-state systems. This method has been used to verify a number of real-world hardware desig...