2082 search results - page 226 / 417 » Using model knowledge for learning inverse dynamics |
163
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UAI
2007
15 years 5 months ago
2007
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
146
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ILP
2005
Springer
15 years 9 months ago
2005
Springer
In this paper we survey work being conducted at Imperial College on the use of machine learning to build Systems Biology models of the effects of toxins on biochemical pathways. Se...
129
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IJCAI
1989
15 years 5 months ago
1989
This paper considers the Valiant framework as it is applied to the task of learning logical concepts from random examples. It is argued that the current interpretation of this Val...
148
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ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
112
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WSC
1998
15 years 5 months ago
1998
Incorporation into construction engineering and management curricula of tasks that improve the abilities of students to manage the complex dynamics, pressures, and demands of cons...